https://github.com/apache/airflow
airflow apache apache-airflow automation dag data-engineering data-integration data-orchestrator data-pipelines data-science elt etl machine-learning mlops orchestration python scheduler workflow workflow-engine workflow-orchestration
Last synced: about 1 month ago
Repository metadata:
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- Host: GitHub
- URL: https://github.com/apache/airflow
- Owner: apache
- License: apache-2.0
- Created: 2015-04-13T18:04:58.000Z (over 9 years ago)
- Default Branch: main
- Last Pushed: 2024-11-05T16:01:18.000Z (about 2 months ago)
- Last Synced: 2024-11-05T16:04:11.406Z (about 2 months ago)
- Topics: airflow, apache, apache-airflow, automation, dag, data-engineering, data-integration, data-orchestrator, data-pipelines, data-science, elt, etl, machine-learning, mlops, orchestration, python, scheduler, workflow, workflow-engine, workflow-orchestration
- Language: Python
- Homepage: https://airflow.apache.org/
- Size: 297 MB
- Stars: 36,996
- Watchers: 758
- Forks: 14,267
- Open Issues: 1,179
-
Metadata Files:
- Readme: README.md
- Changelog: newsfragments/24842.significant.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS
- Security: .github/SECURITY.md
Owner metadata:
- Name: The Apache Software Foundation
- Login: apache
- Email:
- Kind: organization
- Description:
- Website: https://www.apache.org/
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/47359?v=4
- Repositories: 2601
- Last Synced at: 2024-05-21T07:19:49.405Z
- Profile URL: https://github.com/apache
- Sponsor URL:
Committers metadata
Last synced: about 2 months ago
Total Commits: 25,379
Total Committers: 3,489
Avg Commits per committer: 7.274
Development Distribution Score (DDS): 0.86
Commits in past year: 4,577
Committers in past year: 620
Avg Commits per committer in past year: 7.382
Development Distribution Score (DDS) in past year: 0.818
| Name | Commits | |
|---|---|---|
| Jarek Potiuk | j****k@p****m | 3548 |
| Kaxil Naik | k****k@a****g | 1421 |
| Maxime Beauchemin | m****n@a****g | 1029 |
| Kamil Breguła | m****j | 820 |
| Jed Cunningham | 6****m | 561 |
| Ash Berlin-Taylor | a****b@f****m | 561 |
| Andrey Anshin | A****n@t****s | 535 |
| Daniel Standish | 1****h | 533 |
| Ephraim Anierobi | s****4@g****m | 497 |
| eladkal | 4****l | 431 |
| Bolke de Bruin | b****e@x****l | 421 |
| Tomek Urbaszek | t****k@a****g | 326 |
| Hussein Awala | h****n@a****r | 296 |
| Jeremiah Lowin | j****n@a****g | 276 |
| Vincent | 9****k | 263 |
| Tzu-ping Chung | u****r@g****m | 260 |
| Wei Lee | w****x@g****m | 209 |
| Josh Fell | 4****l | 192 |
| Brent Bovenzi | b****i@g****m | 190 |
| Tzu-ping Chung | tp@a****o | 184 |
| Brent Bovenzi | b****t@a****o | 182 |
| D. Ferruzzi | f****i@a****m | 178 |
| Pierre Jeambrun | p****n@g****m | 172 |
| Sid Anand | r****2@g****m | 158 |
| Xiaodong Deng | x****g@h****m | 151 |
| Ash Berlin-Taylor | a****h@a****g | 150 |
| Jens Scheffler | 9****l | 141 |
| Amogh Desai | a****9@g****m | 137 |
| Gopal Dirisala | 3****o | 129 |
| Fokko Driesprong | f****o@a****g | 123 |
| and 3459 more... | ||
Issue and Pull Request metadata
Last synced: about 1 month ago
Package metadata
- Total packages: 106
-
Total downloads:
- pypi: 109,939,897 last-month
- Total docker downloads: 1,479,890,870
- Total dependent packages: 609 (may contain duplicates)
- Total dependent repositories: 2,805 (may contain duplicates)
- Total versions: 2,823
- Total maintainers: 7
- Total advisories: 99
pypi: apache-airflow
Programmatically author, schedule and monitor data pipelines
- Homepage: https://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache Software License
- Latest release: 2.10.3 (published about 2 months ago)
- Last Synced: 2024-11-12T05:40:19.783Z (about 1 month ago)
- Versions: 208
- Dependent Packages: 314
- Dependent Repositories: 1,554
- Downloads: 30,560,699 Last month
- Docker Downloads: 358,903,212
-
Rankings:
- Downloads: 0.047%
- Forks count: 0.055%
- Dependent packages count: 0.074%
- Stargazers count: 0.121%
- Average: 0.157%
- Dependent repos count: 0.278%
- Docker downloads count: 0.367%
- Maintainers (1)
-
Advisories:
- Multiple stored XSS in RBAC Admin screens in Apache Airflow
- Stored XSS in Apache Airflow
- Improper Certificate Validation in Apache Airflow
- Apache Airflow: XSS vulnerability in Task Instance Log/Log Details
- Apache Airflow vulnerable to OS Command Injection via example DAGs
- Apache Airflow vulnerable to sensitive information exposure
- Sensitive Information in Error Messages in Apache Airflow
- Apache Airflow Celery provider Insertion of Sensitive Information into Log File vulnerability
- Command Injection in Apache Airflow and Apache Airflow MySQL Provider
- Apache Airflow Cross-Site Request Forgery vulnerability
- Apache Airflow Improper Access Control vulnerability
- Improper Privilege Management in apache-airflow
- Apache Airflow CNCF Kubernetes provider, Apache Airflow: Kubernetes configuration file saved without encryption in the Metadata and logged as plain text in the Triggerer service
- Apache Airflow vulnerable to sensitive information exposure when users list warnings for all DAGs
- Apache Airflow vulnerable to privilege escalation
- Apache Airflow does not return the "Cache-Control" header for dynamic content
- Apache Airflow vulnerable to Improper Encoding or Escaping of Output
- Apache Airflow vulnerable to Execution with Unnecessary Privileges
- Improper Input Validation in Apache Airflow resulting in Remote Code Execution
- Apache Airflow has DAG Author Code Execution possibility in airflow-scheduler
- Apache Airflow Potential Cross-site Scripting Vulnerability
- Apache Airflow Reflected Cross-site Scripting vulnerability in 404 Endpoint
- Apache Airflow vulnerable to Stored XSS
- Apache Airflow vulnerable to exposure of sensitive information
- Apache Airflow information disclosure vulnerability
- Apache Airflow vulnerable to Use of Externally-Controlled Format String
- Apache Airflow may allow authenticated users who have been deactivated to continue using the UI or API
- Apache Airflow contains open redirect
- Apache Airflow logs passwords in plaintext
- Apache Airflow Incorrect Authorization vulnerability
- Apache Airflow Cross-site Scripting vulnerability
- Remote code execution (RCE) in Apache Airflow
- Apache Airflow exposes arbitrary file content
- Missing Authorization in Apache Airflow
- Cross-Site Request Forgery (CSRF) in Apache Airflow
- Apache Airflow subject to Exposure of Sensitive Information
- Apache Airflow vulnerable to Exposure of Sensitive Information
- Apache Airflow information exposure vulnerability
- Missing Authentication for Critical Function in Apache Airflow
- Apache Airflow Session Fixation vulnerability
- Apache Airflow Open Redirect vulnerability
- Apache Airflow Execution with Unnecessary Privileges
- Apache Airflow vulnerable to stored Cross-site Scripting
- Apache Airflow denial of service vulnerability
- Apache Airflow Incorrect Authorization vulnerability
- Cross-site Scripting in Apache Airflow
- Apache Airflow cross-site scripting due to incomplete fix for CVE-2020-13944
- Apache Airflow: Bypass permission verification to read code of other dags
- Apache Airflow: pickle deserialization vulnerability in XComs
- Apache Airflow Improper Input Validation vulnerability
- Apache Airflow Improper Input Validation vulnerability
- Improper Access Control in Apache Airflow
- Improper Authentication in Apache Airflow
- Apache Airflow Path Traversal vulnerability
- Authentication bypass in Apache Airflow
- Apache Airflow vulnerable to Exposure of Sensitive Information to an Unauthorized Actor
- Apache Airflow allows authenticated and DAG-view authorized users to modify some DAG run detail values when submitting notes
- Apache Airflow vulnerable to Stored XSS
- Apache Airflow: Incorrect Default Permissions in audit logs for Ops and Viewers users
- Apache Airflow vulnerable to Insertion of Sensitive Information Into Sent Data
- Apache Airflow: Ignored Airflow Permission
- OS Command Injection in Apache Airflow
- OS Command Injection in Apache Airflow
- Apache Airflow: Sensitive configuration for providers displayed when "non-sensitive-only" config used
- Apache Airflow Cross-site Scripting Vulnerability
- Apache Airflow vulnerable to Privilege Context Switching Error
- Apache Airflow Cross-site Scripting
- Apache Airflow vulnerable to CSRF Attacks
- OS Command injection in Apache Airflow
- Apache Airflow vulnerable to Exposure of Resource to Wrong Sphere
- Apache Airflow vulnerable to sensitive information exposure when expose-config is set to non-sensitive-only
- Apache Airflow vulnerable to XSS
- Apache Airflow: DAG Code and Import Error Permissions Ignored
- Incorrect Session Validation in Apache Airflow
- Apache Airflow Session Fixation vulnerability
- SSRF vulnerability in Apache Airflow
- Apache Airflow Improper Preservation of Permissions vulnerability
- XSS in Apache Airflow
- Apache Airflow Cross-site Scripting Vulnerability
- Apache Airflow has a stored cross-site scripting vulnerability
- Insecure default config of Celery worker in Apache Airflow
- Apache Airflow Contains Open Redirect
- Apache Airflow missing Certificate Validation
- Command injection via Celery broker in Apache Airflow
- OS Command Injection in Apache Airflow
pypi: apache-airflow-providers-common-sql
Provider package apache-airflow-providers-common-sql for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-common-sql/1.19.0
- Licenses: Apache Software License
- Latest release: 1.13.0 (published 8 months ago)
- Last Synced: 2024-11-11T01:07:47.718Z (about 1 month ago)
- Versions: 82
- Dependent Packages: 43
- Dependent Repositories: 189
- Downloads: 24,712,845 Last month
- Docker Downloads: 358,901,187
-
Rankings:
- Forks count: 0.056%
- Downloads: 0.072%
- Stargazers count: 0.129%
- Average: 0.342%
- Dependent packages count: 0.352%
- Docker downloads count: 0.368%
- Dependent repos count: 1.077%
- Maintainers (3)
pypi: apache-airflow-providers-ftp
Provider package apache-airflow-providers-ftp for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-ftp/3.11.1
- Licenses: Apache Software License
- Latest release: 3.9.0 (published 8 months ago)
- Last Synced: 2024-11-11T04:02:32.606Z (about 1 month ago)
- Versions: 65
- Dependent Packages: 11
- Dependent Repositories: 365
- Downloads: 7,667,672 Last month
- Docker Downloads: 358,902,474
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Downloads: 0.188%
- Docker downloads count: 0.395%
- Average: 0.412%
- Dependent repos count: 0.764%
- Dependent packages count: 1.079%
- Maintainers (4)
- Advisories:
pypi: apache-airflow-providers-postgres
Provider package apache-airflow-providers-postgres for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-postgres/5.13.1
- Licenses: Apache Software License
- Latest release: 5.11.0 (published 8 months ago)
- Last Synced: 2024-10-29T10:01:18.424Z (about 2 months ago)
- Versions: 89
- Dependent Packages: 23
- Dependent Repositories: 152
- Downloads: 2,438,811 Last month
- Docker Downloads: 25,389,142
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Downloads: 0.293%
- Average: 0.436%
- Docker downloads count: 0.506%
- Dependent packages count: 0.556%
- Dependent repos count: 1.216%
- Maintainers (3)
pypi: apache-airflow-providers-slack
Provider package apache-airflow-providers-slack for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-slack/8.9.1
- Licenses: Apache Software License
- Latest release: 8.7.0 (published 8 months ago)
- Last Synced: 2024-11-11T01:07:59.176Z (about 1 month ago)
- Versions: 80
- Dependent Packages: 10
- Dependent Repositories: 76
- Downloads: 6,126,864 Last month
- Docker Downloads: 25,414,558
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Downloads: 0.281%
- Docker downloads count: 0.511%
- Average: 0.603%
- Dependent packages count: 1.079%
- Dependent repos count: 1.704%
- Maintainers (4)
pypi: apache-airflow-providers-docker
Provider package apache-airflow-providers-docker for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-docker/3.14.0
- Licenses: Apache Software License
- Latest release: 3.11.0 (published 8 months ago)
- Last Synced: 2024-11-11T05:44:17.287Z (about 1 month ago)
- Versions: 101
- Dependent Packages: 13
- Dependent Repositories: 64
- Downloads: 3,604,005 Last month
- Docker Downloads: 25,387,894
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.03%
- Downloads: 0.474%
- Docker downloads count: 0.493%
- Average: 0.638%
- Dependent packages count: 0.962%
- Dependent repos count: 1.852%
- Maintainers (4)
- Advisories:
pypi: apache-airflow-providers-mysql
Provider package apache-airflow-providers-mysql for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-mysql/5.7.4
- Licenses: Apache Software License
- Latest release: 5.7.4 (published about 1 month ago)
- Last Synced: 2024-11-26T19:57:37.361Z (25 days ago)
- Versions: 95
- Dependent Packages: 9
- Dependent Repositories: 52
- Downloads: 11,916,402 Last month
- Docker Downloads: 25,170,310
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Downloads: 0.345%
- Docker downloads count: 0.51%
- Average: 0.67%
- Dependent packages count: 1.079%
- Dependent repos count: 2.044%
- Maintainers (4)
- Advisories:
pypi: apache-airflow-providers-sftp
Provider package apache-airflow-providers-sftp for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-sftp/4.11.1
- Licenses: Apache Software License
- Latest release: 4.10.0 (published 8 months ago)
- Last Synced: 2024-11-11T08:32:24.900Z (about 1 month ago)
- Versions: 88
- Dependent Packages: 11
- Dependent Repositories: 35
- Downloads: 3,338,498 Last month
- Docker Downloads: 25,170,099
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Downloads: 0.396%
- Docker downloads count: 0.507%
- Average: 0.71%
- Dependent packages count: 0.837%
- Dependent repos count: 2.478%
- Maintainers (3)
pypi: apache-airflow-providers-apache-hive
Provider package apache-airflow-providers-apache-hive for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-apache-hive/8.2.0
- Licenses: Apache Software License
- Latest release: 8.1.0 (published 8 months ago)
- Last Synced: 2024-11-11T18:33:05.226Z (about 1 month ago)
- Versions: 102
- Dependent Packages: 8
- Dependent Repositories: 19
- Downloads: 453,036 Last month
- Docker Downloads: 25,138,179
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Docker downloads count: 0.514%
- Downloads: 0.739%
- Average: 0.956%
- Dependent packages count: 1.079%
- Dependent repos count: 3.358%
- Maintainers (4)
-
Advisories:
- Apache Airflow Hive Provider vulnerable to Command Injection
- Apache Airflow Hive Provider Improper Input Validation vulnerability
- Apache Airflow Hive Provider Beeline remote code execution with Principal
- OS Command Injection in Apache Airflow
- Apache Airflow Apache Hive Provider Improper Input Validation vulnerability
- Apache Airflow Hive Provider vulnerable to code injection
pypi: apache-airflow-providers-mongo
Provider package apache-airflow-providers-mongo for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-mongo/4.2.2
- Licenses: Apache Software License
- Latest release: 4.2.2 (published about 2 months ago)
- Last Synced: 2024-11-27T14:57:54.620Z (25 days ago)
- Versions: 58
- Dependent Packages: 5
- Dependent Repositories: 30
- Downloads: 1,435,329 Last month
- Docker Downloads: 25,138,775
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Docker downloads count: 0.513%
- Downloads: 0.585%
- Average: 0.995%
- Dependent packages count: 2.156%
- Dependent repos count: 2.672%
- Maintainers (3)
- Advisories:
pypi: apache-airflow-providers-odbc
Provider package apache-airflow-providers-odbc for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-odbc/4.8.0
- Licenses: Apache Software License
- Latest release: 4.6.0 (published 8 months ago)
- Last Synced: 2024-11-10T02:01:34.533Z (about 1 month ago)
- Versions: 66
- Dependent Packages: 4
- Dependent Repositories: 23
- Downloads: 1,006,081 Last month
- Docker Downloads: 32,681
-
Rankings:
- Forks count: 0.013%
- Stargazers count: 0.029%
- Downloads: 0.43%
- Average: 1.089%
- Docker downloads count: 1.158%
- Dependent packages count: 1.877%
- Dependent repos count: 3.024%
- Maintainers (3)
- Advisories:
pypi: apache-airflow-providers-presto
Provider package apache-airflow-providers-presto for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-presto/5.6.0
- Licenses: Apache Software License
- Latest release: 5.5.0 (published 8 months ago)
- Last Synced: 2024-11-11T01:07:54.592Z (about 1 month ago)
- Versions: 78
- Dependent Packages: 6
- Dependent Repositories: 14
- Downloads: 231,375 Last month
- Docker Downloads: 25,137,868
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Docker downloads count: 0.517%
- Downloads: 0.802%
- Average: 1.093%
- Dependent packages count: 1.267%
- Dependent repos count: 3.926%
- Maintainers (4)
pypi: apache-airflow-providers-sendgrid
Provider package apache-airflow-providers-sendgrid for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-sendgrid/3.6.0
- Licenses: Apache Software License
- Latest release: 3.5.0 (published 8 months ago)
- Last Synced: 2024-11-11T12:01:36.613Z (about 1 month ago)
- Versions: 41
- Dependent Packages: 3
- Dependent Repositories: 22
- Downloads: 321,831 Last month
- Docker Downloads: 25,170,013
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Docker downloads count: 0.511%
- Downloads: 0.798%
- Average: 1.29%
- Dependent repos count: 3.117%
- Dependent packages count: 3.271%
- Maintainers (3)
pypi: apache-airflow-providers-elasticsearch
Provider package apache-airflow-providers-elasticsearch for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-elasticsearch/5.5.2
- Licenses: Apache Software License
- Latest release: 5.4.0 (published 8 months ago)
- Last Synced: 2024-11-09T09:03:42.195Z (about 1 month ago)
- Versions: 98
- Dependent Packages: 3
- Dependent Repositories: 23
- Downloads: 389,391 Last month
- Docker Downloads: 25,170,205
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Docker downloads count: 0.507%
- Downloads: 1.157%
- Average: 1.338%
- Dependent repos count: 3.05%
- Dependent packages count: 3.271%
- Maintainers (3)
pypi: apache-airflow-providers-apache-livy
Provider package apache-airflow-providers-apache-livy for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-apache-livy/3.9.2
- Licenses: Apache Software License
- Latest release: 3.8.0 (published 8 months ago)
- Last Synced: 2024-11-11T14:01:59.916Z (about 1 month ago)
- Versions: 66
- Dependent Packages: 4
- Dependent Repositories: 15
- Downloads: 244,670 Last month
- Docker Downloads: 915
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Downloads: 0.852%
- Average: 1.401%
- Docker downloads count: 1.564%
- Dependent packages count: 2.156%
- Dependent repos count: 3.79%
- Maintainers (3)
pypi: apache-airflow-providers-grpc
Provider package apache-airflow-providers-grpc for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-grpc/3.6.0
- Licenses: Apache Software License
- Latest release: 3.6.0 (published 4 months ago)
- Last Synced: 2024-11-16T03:02:58.830Z (about 1 month ago)
- Versions: 46
- Dependent Packages: 3
- Dependent Repositories: 18
- Downloads: 222,359 Last month
- Docker Downloads: 25,170,028
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Docker downloads count: 0.511%
- Average: 1.469%
- Downloads: 1.533%
- Dependent packages count: 3.271%
- Dependent repos count: 3.452%
- Maintainers (3)
pypi: apache-airflow-providers-facebook
Provider package apache-airflow-providers-facebook for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-facebook/3.6.0
- Licenses: Apache Software License
- Latest release: 3.5.0 (published 8 months ago)
- Last Synced: 2024-10-29T14:12:15.233Z (about 2 months ago)
- Versions: 50
- Dependent Packages: 5
- Dependent Repositories: 16
- Downloads: 169,416 Last month
- Docker Downloads: 371
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Average: 1.49%
- Downloads: 1.528%
- Dependent packages count: 1.611%
- Docker downloads count: 2.089%
- Dependent repos count: 3.668%
- Maintainers (4)
pypi: apache-airflow-providers-apache-druid
Provider package apache-airflow-providers-apache-druid for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-apache-druid/3.12.0
- Licenses: Apache Software License
- Latest release: 3.10.0 (published 8 months ago)
- Last Synced: 2024-11-11T04:00:48.201Z (about 1 month ago)
- Versions: 75
- Dependent Packages: 3
- Dependent Repositories: 12
- Downloads: 340,781 Last month
- Docker Downloads: 25,137,868
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Docker downloads count: 0.517%
- Downloads: 0.905%
- Average: 1.498%
- Dependent packages count: 3.271%
- Dependent repos count: 4.252%
- Maintainers (4)
pypi: apache-airflow-providers-cloudant
Provider package apache-airflow-providers-cloudant for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-cloudant/4.0.2
- Licenses: Apache Software License
- Latest release: 3.5.0 (published 8 months ago)
- Last Synced: 2024-11-11T10:32:38.801Z (about 1 month ago)
- Versions: 48
- Dependent Packages: 3
- Dependent Repositories: 12
- Downloads: 145,515 Last month
- Docker Downloads: 25,137,868
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Docker downloads count: 0.517%
- Downloads: 1.048%
- Average: 1.522%
- Dependent packages count: 3.271%
- Dependent repos count: 4.252%
- Maintainers (3)
pypi: apache-airflow-providers-papermill
Provider package apache-airflow-providers-papermill for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-papermill/3.8.1
- Licenses: Apache Software License
- Latest release: 3.7.0 (published 8 months ago)
- Last Synced: 2024-11-10T07:32:10.155Z (about 1 month ago)
- Versions: 55
- Dependent Packages: 3
- Dependent Repositories: 21
- Downloads: 313,788 Last month
- Docker Downloads: 1,213
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Downloads: 0.938%
- Average: 1.557%
- Docker downloads count: 1.899%
- Dependent repos count: 3.192%
- Dependent packages count: 3.271%
- Maintainers (4)
pypi: apache-airflow-providers-jenkins
Provider package apache-airflow-providers-jenkins for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-jenkins/3.7.2
- Licenses: Apache Software License
- Latest release: 3.6.0 (published 8 months ago)
- Last Synced: 2024-11-09T08:01:30.321Z (about 1 month ago)
- Versions: 61
- Dependent Packages: 3
- Dependent Repositories: 12
- Downloads: 328,379 Last month
- Docker Downloads: 371
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Downloads: 0.818%
- Average: 1.747%
- Docker downloads count: 2.095%
- Dependent packages count: 3.271%
- Dependent repos count: 4.252%
- Maintainers (4)
pypi: apache-airflow-providers-neo4j
Provider package apache-airflow-providers-neo4j for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-neo4j/3.7.0
- Licenses: Apache Software License
- Latest release: 3.7.0 (published 4 months ago)
- Last Synced: 2024-11-16T18:30:24.204Z (about 1 month ago)
- Versions: 50
- Dependent Packages: 3
- Dependent Repositories: 7
- Downloads: 141,395 Last month
- Docker Downloads: 25,137,868
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Docker downloads count: 0.517%
- Downloads: 1.064%
- Average: 1.761%
- Dependent packages count: 3.271%
- Dependent repos count: 5.672%
- Maintainers (3)
pypi: apache-airflow-providers-microsoft-winrm
Provider package apache-airflow-providers-microsoft-winrm for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-microsoft-winrm/3.6.0
- Licenses: Apache Software License
- Latest release: 3.6.0 (published 4 months ago)
- Last Synced: 2024-11-11T23:33:17.518Z (about 1 month ago)
- Versions: 50
- Dependent Packages: 3
- Dependent Repositories: 13
- Downloads: 171,053 Last month
- Docker Downloads: 384
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Downloads: 1.587%
- Average: 1.846%
- Docker downloads count: 2.095%
- Dependent packages count: 3.271%
- Dependent repos count: 4.08%
- Maintainers (3)
pypi: apache-airflow-providers-dingding
Provider package apache-airflow-providers-dingding for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-dingding/3.6.0
- Licenses: Apache Software License
- Latest release: 3.5.0 (published 8 months ago)
- Last Synced: 2024-11-11T01:06:16.224Z (about 1 month ago)
- Versions: 39
- Dependent Packages: 3
- Dependent Repositories: 13
- Downloads: 111,920 Last month
- Docker Downloads: 392
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Downloads: 1.717%
- Average: 1.864%
- Docker downloads count: 2.075%
- Dependent packages count: 3.271%
- Dependent repos count: 4.08%
- Maintainers (3)
pypi: apache-airflow-providers-openfaas
Provider package apache-airflow-providers-openfaas for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-openfaas/3.6.0
- Licenses: Apache Software License
- Latest release: 3.6.0 (published 4 months ago)
- Last Synced: 2024-11-12T17:34:19.916Z (about 1 month ago)
- Versions: 37
- Dependent Packages: 3
- Dependent Repositories: 12
- Downloads: 122,960 Last month
- Docker Downloads: 371
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Downloads: 1.645%
- Average: 1.884%
- Docker downloads count: 2.095%
- Dependent packages count: 3.271%
- Dependent repos count: 4.252%
- Maintainers (4)
pypi: apache-airflow-providers-singularity
Provider package apache-airflow-providers-singularity for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-singularity/3.6.0
- Licenses: Apache Software License
- Latest release: 3.6.0 (published 4 months ago)
- Last Synced: 2024-11-12T00:02:33.407Z (about 1 month ago)
- Versions: 41
- Dependent Packages: 3
- Dependent Repositories: 12
- Downloads: 110,989 Last month
- Docker Downloads: 371
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Downloads: 1.714%
- Average: 1.896%
- Docker downloads count: 2.095%
- Dependent packages count: 3.271%
- Dependent repos count: 4.252%
- Maintainers (3)
pypi: apache-airflow-providers-apache-drill
Provider package apache-airflow-providers-apache-drill for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-apache-drill/2.8.0
- Licenses: Apache Software License
- Latest release: 2.7.0 (published 8 months ago)
- Last Synced: 2024-11-05T16:04:27.105Z (about 2 months ago)
- Versions: 56
- Dependent Packages: 3
- Dependent Repositories: 3
- Downloads: 132,814 Last month
- Docker Downloads: 25,137,868
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Docker downloads count: 0.517%
- Downloads: 1.687%
- Average: 2.449%
- Dependent packages count: 3.271%
- Dependent repos count: 9.173%
- Maintainers (4)
- Advisories:
pypi: apache-airflow-providers-arangodb
Provider package apache-airflow-providers-arangodb for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-arangodb/2.6.0
- Licenses: Apache Software License
- Latest release: 2.5.0 (published 8 months ago)
- Last Synced: 2024-11-08T23:38:54.900Z (about 1 month ago)
- Versions: 28
- Dependent Packages: 3
- Dependent Repositories: 3
- Downloads: 102,703 Last month
- Docker Downloads: 25,137,861
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.029%
- Docker downloads count: 0.519%
- Downloads: 1.725%
- Average: 2.455%
- Dependent packages count: 3.271%
- Dependent repos count: 9.173%
- Maintainers (3)
pypi: apache-airflow-backport-providers-apache-beam
Backport provider package apache-airflow-backport-providers-apache-beam for Apache Airflow
- Homepage: https://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2021.3.13 (published almost 4 years ago)
- Last Synced: 2024-11-05T16:04:26.360Z (about 2 months ago)
- Versions: 5
- Dependent Packages: 0
- Dependent Repositories: 2
- Downloads: 2,009 Last month
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.03%
- Average: 6.256%
- Downloads: 9.582%
- Dependent packages count: 10.141%
- Dependent repos count: 11.514%
- Maintainers (3)
pypi: apache-airflow-backport-providers-docker
Backport provider package apache-airflow-backport-providers-docker for Apache Airflow
- Homepage: https://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2021.3.3 (published almost 4 years ago)
- Last Synced: 2024-10-29T14:12:17.142Z (about 2 months ago)
- Versions: 13
- Dependent Packages: 0
- Dependent Repositories: 2
- Downloads: 4,597 Last month
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.03%
- Average: 6.712%
- Dependent packages count: 10.141%
- Dependent repos count: 11.514%
- Downloads: 11.859%
- Maintainers (3)
pypi: apache-airflow-backport-providers-databricks
Backport provider package apache-airflow-backport-providers-databricks for Apache Airflow
- Homepage: http://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2020.11.23 (published about 4 years ago)
- Last Synced: 2024-11-08T23:38:55.910Z (about 1 month ago)
- Versions: 11
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 8,289 Last month
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.03%
- Downloads: 2.874%
- Average: 6.917%
- Dependent packages count: 10.141%
- Dependent repos count: 21.526%
- Maintainers (3)
pypi: apache-airflow-backport-providers-sftp
Backport provider package apache-airflow-backport-providers-sftp for Apache Airflow
- Homepage: https://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2021.3.3 (published almost 4 years ago)
- Last Synced: 2024-10-29T14:12:50.008Z (about 2 months ago)
- Versions: 13
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 4,811 Last month
-
Rankings:
- Forks count: 0.013%
- Stargazers count: 0.029%
- Downloads: 4.498%
- Average: 7.241%
- Dependent packages count: 10.141%
- Dependent repos count: 21.526%
- Maintainers (3)
pypi: apache-airflow-backport-providers-apache-cassandra
Backport provider package apache-airflow-backport-providers-apache-cassandra for Apache Airflow
- Homepage: https://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2021.3.17 (published almost 4 years ago)
- Last Synced: 2024-11-08T23:38:56.399Z (about 1 month ago)
- Versions: 11
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 3,885 Last month
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.03%
- Downloads: 4.786%
- Average: 7.299%
- Dependent packages count: 10.141%
- Dependent repos count: 21.526%
- Maintainers (3)
conda: apache-airflow-providers-http
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 4.0.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:12:37.682Z (about 2 months ago)
- Versions: 10
- Dependent Packages: 7
- Dependent Repositories: 1
-
Rankings:
- Forks count: 0.18%
- Stargazers count: 0.504%
- Dependent packages count: 8.009%
- Average: 8.251%
- Dependent repos count: 24.313%
pypi: apache-airflow-backport-providers-opsgenie
Backport provider package apache-airflow-backport-providers-opsgenie for Apache Airflow
- Homepage: https://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2021.3.17 (published almost 4 years ago)
- Last Synced: 2024-11-05T16:04:27.743Z (about 2 months ago)
- Versions: 11
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 4,441 Last month
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.03%
- Average: 8.721%
- Dependent packages count: 10.141%
- Downloads: 11.892%
- Dependent repos count: 21.526%
- Maintainers (3)
pypi: apache-airflow-backport-providers-datadog
Backport provider package apache-airflow-backport-providers-datadog for Apache Airflow
- Homepage: https://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2021.3.17 (published almost 4 years ago)
- Last Synced: 2024-11-08T23:38:56.036Z (about 1 month ago)
- Versions: 11
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 3,910 Last month
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.03%
- Average: 8.88%
- Dependent packages count: 10.141%
- Downloads: 12.688%
- Dependent repos count: 21.526%
- Maintainers (3)
conda: apache-airflow
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 2.4.3 (published about 2 years ago)
- Last Synced: 2024-10-29T14:12:26.445Z (about 2 months ago)
- Versions: 22
- Dependent Packages: 70
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Dependent packages count: 1.113%
- Average: 8.943%
- Dependent repos count: 34.025%
pypi: apache-airflow-backport-providers-jdbc
Backport provider package apache-airflow-backport-providers-jdbc for Apache Airflow
- Homepage: https://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2021.3.17 (published almost 4 years ago)
- Last Synced: 2024-11-05T16:04:27.004Z (about 2 months ago)
- Versions: 11
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 3,863 Last month
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.03%
- Average: 9.782%
- Dependent packages count: 10.141%
- Downloads: 17.197%
- Dependent repos count: 21.526%
- Maintainers (3)
pypi: apache-airflow-backport-providers-qubole
Backport provider package apache-airflow-backport-providers-qubole for Apache Airflow
- Homepage: https://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2021.3.3 (published almost 4 years ago)
- Last Synced: 2024-11-05T16:04:26.980Z (about 2 months ago)
- Versions: 11
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 4,151 Last month
-
Rankings:
- Forks count: 0.013%
- Stargazers count: 0.029%
- Average: 9.792%
- Dependent packages count: 10.141%
- Downloads: 17.253%
- Dependent repos count: 21.526%
- Maintainers (3)
pypi: apache-airflow-backport-providers-vertica
Backport provider package apache-airflow-backport-providers-vertica for Apache Airflow
- Homepage: https://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2021.3.17 (published almost 4 years ago)
- Last Synced: 2024-10-29T14:12:16.863Z (about 2 months ago)
- Versions: 11
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 3,724 Last month
-
Rankings:
- Forks count: 0.013%
- Stargazers count: 0.029%
- Average: 10.082%
- Dependent packages count: 10.126%
- Downloads: 18.705%
- Dependent repos count: 21.535%
- Maintainers (3)
pypi: apache-airflow-backport-providers-segment
Backport provider package apache-airflow-backport-providers-segment for Apache Airflow
- Homepage: https://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2021.3.17 (published almost 4 years ago)
- Last Synced: 2024-11-10T00:14:38.155Z (about 1 month ago)
- Versions: 11
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 3,729 Last month
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.03%
- Dependent packages count: 10.141%
- Average: 10.305%
- Downloads: 19.814%
- Dependent repos count: 21.526%
- Maintainers (3)
pypi: apache-airflow-backport-providers-papermill
Backport provider package apache-airflow-backport-providers-papermill for Apache Airflow
- Homepage: https://airflow.apache.org/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2021.3.3 (published almost 4 years ago)
- Last Synced: 2024-11-05T16:04:27.918Z (about 2 months ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 1,562 Last month
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.03%
- Dependent packages count: 10.141%
- Average: 10.859%
- Dependent repos count: 21.526%
- Downloads: 22.584%
- Maintainers (3)
conda: apache-airflow-providers-ftp
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.1.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:12:43.467Z (about 2 months ago)
- Versions: 9
- Dependent Packages: 2
- Dependent Repositories: 1
-
Rankings:
- Forks count: 0.18%
- Stargazers count: 0.504%
- Average: 11.083%
- Dependent packages count: 19.561%
- Dependent repos count: 24.088%
pypi: smartpip2
Programmatically author, schedule and monitor data pipelines
- Homepage: https://www.smartchart.cn/
- Documentation: https://airflow.apache.org/docs/
- Licenses: Apache License 2.0
- Latest release: 2.1.9 (published about 2 years ago)
- Last Synced: 2024-11-05T16:04:26.399Z (about 2 months ago)
- Versions: 19
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 561 Last month
-
Rankings:
- Forks count: 0.013%
- Stargazers count: 0.029%
- Dependent packages count: 10.141%
- Average: 11.846%
- Dependent repos count: 21.526%
- Downloads: 27.52%
- Maintainers (1)
conda: apache-airflow-providers-apache-hdfs
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.1.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:13:12.689Z (about 2 months ago)
- Versions: 10
- Dependent Packages: 2
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.799%
- Stargazers count: 1.103%
- Average: 13.858%
- Dependent packages count: 19.506%
- Dependent repos count: 34.025%
conda: apache-airflow-providers-imap
- Homepage: https://airflow.apache.org/
- Licenses: Apache-2.0
- Latest release: 3.0.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:12:29.099Z (about 2 months ago)
- Versions: 1
- Dependent Packages: 2
- Dependent Repositories: 1
-
Rankings:
- Forks count: 0.668%
- Stargazers count: 1.124%
- Average: 18.385%
- Dependent packages count: 20.474%
- Dependent repos count: 51.276%
pypi: apache-airflow-providers-opensearch
Provider package apache-airflow-providers-opensearch for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-opensearch/1.5.0
- Licenses: Apache Software License
- Latest release: 1.2.0 (published 8 months ago)
- Last Synced: 2024-11-05T16:04:26.425Z (about 2 months ago)
- Versions: 18
- Dependent Packages: 1
- Dependent Repositories: 0
- Downloads: 99,594 Last month
-
Rankings:
- Forks count: 0.014%
- Stargazers count: 0.03%
- Dependent packages count: 9.143%
- Average: 19.364%
- Dependent repos count: 68.269%
- Maintainers (1)
conda: apache-airflow-providers-github
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 2.1.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:12:52.712Z (about 2 months ago)
- Versions: 3
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-hashicorp
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 1.10.15 (published almost 4 years ago)
- Last Synced: 2024-10-29T14:12:47.741Z (about 2 months ago)
- Versions: 5
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-papermill
- Homepage: https://airflow.apache.org/
- Licenses: Apache-2.0
- Latest release: 3.0.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:12:45.691Z (about 2 months ago)
- Versions: 9
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-influxdb
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 2.0.0 (published over 2 years ago)
- Last Synced: 2024-11-05T16:04:50.124Z (about 2 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-grpc
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.0.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:12:57.024Z (about 2 months ago)
- Versions: 7
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-zendesk
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 4.0.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:13:03.274Z (about 2 months ago)
- Versions: 7
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-apache-sqoop
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.0.0 (published over 2 years ago)
- Last Synced: 2024-11-05T16:04:56.781Z (about 2 months ago)
- Versions: 8
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-snowflake
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 1.10.15 (published almost 4 years ago)
- Last Synced: 2024-11-05T16:04:35.820Z (about 2 months ago)
- Versions: 5
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-hashicorp
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.1.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:13:21.563Z (about 2 months ago)
- Versions: 11
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-apache-pinot
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.2.1 (published about 2 years ago)
- Last Synced: 2024-11-06T22:40:23.078Z (about 2 months ago)
- Versions: 9
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-amazon
- Homepage: https://airflow.apache.org/
- Licenses: Apache-2.0
- Latest release: 6.0.0 (published about 2 years ago)
- Last Synced: 2024-10-29T14:13:12.651Z (about 2 months ago)
- Versions: 18
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-apache-beam
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 4.0.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:13:18.162Z (about 2 months ago)
- Versions: 10
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-elasticsearch
- Homepage: https://airflow.apache.org/
- Licenses: Apache-2.0
- Latest release: 4.2.1 (published about 2 years ago)
- Last Synced: 2024-10-29T14:13:17.942Z (about 2 months ago)
- Versions: 16
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-elasticsearch
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 1.10.11 (published over 4 years ago)
- Last Synced: 2024-10-29T14:13:07.912Z (about 2 months ago)
- Versions: 14
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-mysql
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.2.1 (published about 2 years ago)
- Last Synced: 2024-10-29T14:13:05.966Z (about 2 months ago)
- Versions: 13
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-microsoft-azure
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 4.0.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:13:04.067Z (about 2 months ago)
- Versions: 16
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-sendgrid
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.0.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:13:04.052Z (about 2 months ago)
- Versions: 7
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-dingding
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.0.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:12:55.189Z (about 2 months ago)
- Versions: 7
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-salesforce
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 5.1.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:12:53.824Z (about 2 months ago)
- Versions: 13
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-mongo
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.0.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:12:57.825Z (about 2 months ago)
- Versions: 8
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-azure_cosmos
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 1.10.15 (published almost 4 years ago)
- Last Synced: 2024-10-29T14:12:49.457Z (about 2 months ago)
- Versions: 16
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-sendgrid
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 1.10.15 (published almost 4 years ago)
- Last Synced: 2024-10-29T14:12:41.153Z (about 2 months ago)
- Versions: 18
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-alibaba
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 2.1.0 (published about 2 years ago)
- Last Synced: 2024-10-29T14:12:28.062Z (about 2 months ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-cncf-kubernetes
- Homepage: https://airflow.apache.org/
- Licenses: Apache-2.0
- Latest release: 4.4.0 (published about 2 years ago)
- Last Synced: 2024-10-29T14:12:24.941Z (about 2 months ago)
- Versions: 20
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-segment
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.0.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:12:24.011Z (about 2 months ago)
- Versions: 6
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-qubole
- Homepage: https://airflow.apache.org/
- Licenses: Apache-2.0
- Latest release: 3.2.1 (published about 2 years ago)
- Last Synced: 2024-10-29T14:12:22.141Z (about 2 months ago)
- Versions: 11
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-winrm
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 1.10.15 (published almost 4 years ago)
- Last Synced: 2024-10-29T14:15:23.427Z (about 2 months ago)
- Versions: 18
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-celery
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 1.10.15 (published almost 4 years ago)
- Last Synced: 2024-10-29T14:15:21.220Z (about 2 months ago)
- Versions: 19
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-password
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 2.4.3 (published about 2 years ago)
- Last Synced: 2024-10-29T14:15:21.072Z (about 2 months ago)
- Versions: 41
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-jira
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 1.10.15 (published almost 4 years ago)
- Last Synced: 2024-10-29T14:15:19.324Z (about 2 months ago)
- Versions: 19
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-postgres
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 5.2.2 (published about 2 years ago)
- Last Synced: 2024-10-29T14:12:41.246Z (about 2 months ago)
- Versions: 15
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-postgres
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 1.10.15 (published almost 4 years ago)
- Last Synced: 2024-11-11T01:08:15.639Z (about 1 month ago)
- Versions: 19
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-dbt-cloud
- Homepage: https://airflow.apache.org/
- Licenses: Apache-2.0
- Latest release: 2.2.0 (published about 2 years ago)
- Last Synced: 2024-10-29T14:12:33.876Z (about 2 months ago)
- Versions: 5
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-microsoft-mssql
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.2.1 (published about 2 years ago)
- Last Synced: 2024-10-29T14:15:06.842Z (about 2 months ago)
- Versions: 11
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-jdbc
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.2.1 (published about 2 years ago)
- Last Synced: 2024-10-29T14:12:39.905Z (about 2 months ago)
- Versions: 10
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-jenkins
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 1.10.15 (published almost 4 years ago)
- Last Synced: 2024-10-29T14:12:31.339Z (about 2 months ago)
- Versions: 18
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-leveldb
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 2.4.3 (published about 2 years ago)
- Last Synced: 2024-10-29T14:15:16.523Z (about 2 months ago)
- Versions: 19
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-samba
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 1.10.15 (published almost 4 years ago)
- Last Synced: 2024-10-29T14:15:18.412Z (about 2 months ago)
- Versions: 19
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-ssh
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 1.10.15 (published almost 4 years ago)
- Last Synced: 2024-10-29T14:12:30.282Z (about 2 months ago)
- Versions: 19
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-apache-spark
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.0.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:13:19.895Z (about 2 months ago)
- Versions: 10
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-oracle
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.4.0 (published about 2 years ago)
- Last Synced: 2024-10-29T14:13:14.011Z (about 2 months ago)
- Versions: 13
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-neo4j
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.1.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:13:12.716Z (about 2 months ago)
- Versions: 10
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.165%
- Stargazers count: 0.469%
- Average: 21.459%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-apache-livy
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.1.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:12:46.574Z (about 2 months ago)
- Versions: 9
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.799%
- Stargazers count: 1.103%
- Average: 21.776%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: apache-airflow-providers-airbyte
- Homepage: https://github.com/apache/airflow/
- Licenses: Apache-2.0
- Latest release: 3.1.0 (published over 2 years ago)
- Last Synced: 2024-10-29T14:12:36.831Z (about 2 months ago)
- Versions: 3
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.799%
- Stargazers count: 1.103%
- Average: 21.776%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
conda: airflow-with-sentry
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: https://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 2.4.3 (published about 2 years ago)
- Last Synced: 2024-10-29T14:12:20.340Z (about 2 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.744%
- Stargazers count: 1.217%
- Average: 24.865%
- Dependent packages count: 39.804%
- Dependent repos count: 57.694%
conda: airflow-with-password
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: https://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 2.4.3 (published about 2 years ago)
- Last Synced: 2024-10-29T14:12:58.412Z (about 2 months ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.744%
- Stargazers count: 1.217%
- Average: 24.865%
- Dependent packages count: 39.804%
- Dependent repos count: 57.694%
conda: airflow-with-deprecated-api
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: https://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 2.4.3 (published about 2 years ago)
- Last Synced: 2024-10-29T14:13:02.869Z (about 2 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.744%
- Stargazers count: 1.217%
- Average: 24.865%
- Dependent packages count: 39.804%
- Dependent repos count: 57.694%
conda: airflow-with-redis
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache 2.0
- Latest release: 1.10.12 (published about 4 years ago)
- Last Synced: 2024-10-29T14:12:15.377Z (about 2 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.744%
- Stargazers count: 1.217%
- Average: 24.865%
- Dependent packages count: 39.804%
- Dependent repos count: 57.694%
conda: airflow-with-azure_blob_storage
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache 2.0
- Latest release: 1.10.12 (published about 4 years ago)
- Last Synced: 2024-10-29T14:13:08.865Z (about 2 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.744%
- Stargazers count: 1.217%
- Average: 24.865%
- Dependent packages count: 39.804%
- Dependent repos count: 57.694%
conda: airflow-with-celery
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache 2.0
- Latest release: 1.10.12 (published about 4 years ago)
- Last Synced: 2024-10-29T14:12:28.893Z (about 2 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.744%
- Stargazers count: 1.217%
- Average: 24.865%
- Dependent packages count: 39.804%
- Dependent repos count: 57.694%
conda: airflow-with-emr
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache 2.0
- Latest release: 1.10.12 (published about 4 years ago)
- Last Synced: 2024-10-29T14:12:22.217Z (about 2 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.744%
- Stargazers count: 1.217%
- Average: 24.865%
- Dependent packages count: 39.804%
- Dependent repos count: 57.694%
conda: airflow-with-databricks
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache 2.0
- Latest release: 1.10.12 (published about 4 years ago)
- Last Synced: 2024-11-11T01:08:00.237Z (about 1 month ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.744%
- Stargazers count: 1.217%
- Average: 24.865%
- Dependent packages count: 39.804%
- Dependent repos count: 57.694%
conda: airflow-with-samba
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: http://airflow.apache.org
- Licenses: Apache 2.0
- Latest release: 1.10.12 (published about 4 years ago)
- Last Synced: 2024-10-29T14:13:04.595Z (about 2 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.744%
- Stargazers count: 1.217%
- Average: 24.865%
- Dependent packages count: 39.804%
- Dependent repos count: 57.694%
conda: airflow-with-dask
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: https://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 2.4.3 (published about 2 years ago)
- Last Synced: 2024-10-29T14:12:19.903Z (about 2 months ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.744%
- Stargazers count: 1.217%
- Average: 24.865%
- Dependent packages count: 39.804%
- Dependent repos count: 57.694%
conda: airflow-with-apache-webhdfs
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
- Homepage: https://airflow.apache.org
- Licenses: Apache-2.0
- Latest release: 2.4.3 (published about 2 years ago)
- Last Synced: 2024-10-29T14:13:04.593Z (about 2 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 0.744%
- Stargazers count: 1.217%
- Average: 24.865%
- Dependent packages count: 39.804%
- Dependent repos count: 57.694%
pypi: apache-airflow-providers-common-compat
Provider package apache-airflow-providers-common-compat for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-common-compat/1.2.1
- Licenses: Apache Software License
- Latest release:
- Last Synced: 2024-11-05T16:04:28.280Z (about 2 months ago)
- Versions: 8
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 4,677,216 Last month
-
Rankings:
- Dependent packages count: 10.747%
- Average: 35.636%
- Dependent repos count: 60.526%
- Maintainers (1)
pypi: gke-taskflow
- Homepage:
- Documentation: https://gke-taskflow.readthedocs.io/
- Licenses: apache-2.0
- Latest release: 1.0.0 (published 12 months ago)
- Last Synced: 2024-11-08T23:38:56.784Z (about 1 month ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 45 Last month
-
Rankings:
- Dependent packages count: 10.032%
- Average: 38.124%
- Dependent repos count: 66.217%
- Maintainers (1)
pypi: apache-airflow-providers-fab
Provider package apache-airflow-providers-fab for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-fab/1.5.0
- Licenses: Apache Software License
- Latest release: 1.1.0 (published 8 months ago)
- Last Synced: 2024-11-08T23:38:56.130Z (about 1 month ago)
- Versions: 34
- Dependent Packages: 2
- Dependent Repositories: 0
- Downloads: 7,789,179 Last month
-
Rankings:
- Dependent packages count: 10.111%
- Average: 38.411%
- Dependent repos count: 66.71%
- Maintainers (1)
- Advisories:
pypi: apache-airflow-providers-openlineage
Provider package apache-airflow-providers-openlineage for Apache Airflow
- Homepage:
- Documentation: https://airflow.apache.org/docs/apache-airflow-providers-openlineage/1.13.0
- Licenses: Apache Software License
- Latest release: 1.7.1 (published 8 months ago)
- Last Synced: 2024-11-05T16:04:29.327Z (about 2 months ago)
- Versions: 49
- Dependent Packages: 15
- Dependent Repositories: 0
- Downloads: 462,750 Last month
- Docker Downloads: 524
-
Rankings:
- Dependent packages count: 7.617%
- Average: 38.554%
- Dependent repos count: 69.491%
- Maintainers (1)
Dependencies
- ${PYTHON_BASE_IMAGE} latest build
- scratch latest build
- alpine ${ALPINE_VERSION} build
- alpine ${ALPINE_VERSION} build
- golang ${GO_VERSION} build
- apache/airflow 2.6.0.dev0 build
- apache/airflow 2.6.0.dev0 build
- apache/airflow 2.6.0.dev0 build
- apache/airflow 2.6.0.dev0 build
- apache/airflow 2.6.0.dev0 build
- apache/airflow 2.6.0.dev0 build
- apache/airflow 2.6.0.dev0 build
- apache/airflow 2.6.0.dev0 build
- @babel/core ^7.18.5 development
- @babel/eslint-parser ^7.18.2 development
- @babel/plugin-transform-runtime ^7.16.0 development
- @babel/preset-env ^7.16.0 development
- @babel/preset-react ^7.16.0 development
- @babel/preset-typescript ^7.17.12 development
- @testing-library/jest-dom ^5.16.0 development
- @testing-library/react ^13.0.0 development
- @types/color ^3.0.3 development
- @types/react ^18.0.12 development
- @types/react-dom ^18.0.5 development
- @types/react-table ^7.7.12 development
- @typescript-eslint/eslint-plugin ^5.13.0 development
- @typescript-eslint/parser ^5.0.0 development
- babel-jest ^27.3.1 development
- babel-loader ^8.1.0 development
- clean-webpack-plugin ^3.0.0 development
- copy-webpack-plugin ^6.0.3 development
- css-loader 5.2.7 development
- css-minimizer-webpack-plugin ^4.0.0 development
- eslint ^8.6.0 development
- eslint-config-airbnb ^19.0.4 development
- eslint-config-airbnb-typescript ^17.0.0 development
- eslint-plugin-html ^6.0.2 development
- eslint-plugin-import ^2.25.3 development
- eslint-plugin-jsx-a11y ^6.5.0 development
- eslint-plugin-node ^11.1.0 development
- eslint-plugin-promise ^4.2.1 development
- eslint-plugin-react ^7.30.0 development
- eslint-plugin-react-hooks ^4.5.0 development
- eslint-plugin-standard ^4.0.1 development
- file-loader ^6.0.0 development
- imports-loader ^1.1.0 development
- jest ^27.3.1 development
- mini-css-extract-plugin ^1.6.2 development
- moment ^2.29.4 development
- moment-locales-webpack-plugin ^1.2.0 development
- nock ^13.2.4 development
- openapi-typescript ^5.4.1 development
- style-loader ^1.2.1 development
- stylelint ^13.6.1 development
- stylelint-config-standard ^20.0.0 development
- terser-webpack-plugin <5.0.0 development
- typescript ^4.6.3 development
- url-loader 4.1.0 development
- web-worker ^1.2.0 development
- webpack ^5.73.0 development
- webpack-cli ^4.0.0 development
- webpack-license-plugin ^4.2.1 development
- webpack-manifest-plugin ^4.0.0 development
- @chakra-ui/react ^2.2.0
- @emotion/cache ^11.9.3
- @emotion/react ^11.9.3
- @emotion/styled ^11
- @visx/group ^2.10.0
- @visx/marker ^2.12.2
- @visx/shape ^2.12.2
- @visx/zoom ^2.10.0
- axios ^0.26.0
- bootstrap-3-typeahead ^4.0.2
- camelcase-keys ^7.0.0
- chakra-react-select ^4.0.0
- codemirror ^5.59.1
- color ^4.2.3
- d3 ^3.4.4
- d3-shape ^2.1.0
- d3-tip ^0.9.1
- dagre-d3 ^0.6.4
- datatables.net ^1.11.4
- datatables.net-bs ^1.11.4
- elkjs ^0.7.1
- eonasdan-bootstrap-datetimepicker ^4.17.47
- framer-motion ^6.0.0
- jquery >=3.5.0
- jshint ^2.13.4
- lodash ^4.17.21
- moment-timezone ^0.5.35
- nvd3 ^1.8.6
- react ^18.0.0
- react-dom ^18.0.0
- react-icons ^4.3.1
- react-json-view ^1.21.3
- react-markdown ^8.0.4
- react-query ^3.39.1
- react-router-dom ^6.3.0
- react-table ^7.8.0
- react-textarea-autosize ^8.3.4
- redoc ^2.0.0-rc.72
- remark-gfm ^3.0.1
- swagger-ui-dist 4.1.3
- type-fest ^2.17.0
- url-search-params-polyfill ^8.1.0
- 1478 dependencies
- beautifulsoup4 *
- lxml *
- req *
- apache/airflow 2.7.0.dev0 build