https://github.com/scikit-learn/scikit-learn
data-analysis data-science machine-learning python statistics
Last synced: about 1 month ago
Repository metadata:
scikit-learn: machine learning in Python
- Host: GitHub
- URL: https://github.com/scikit-learn/scikit-learn
- Owner: scikit-learn
- License: bsd-3-clause
- Created: 2010-08-17T09:43:38.000Z (over 14 years ago)
- Default Branch: main
- Last Pushed: 2024-11-05T19:39:52.000Z (about 2 months ago)
- Last Synced: 2024-11-05T19:42:44.651Z (about 2 months ago)
- Topics: data-analysis, data-science, machine-learning, python, statistics
- Language: Python
- Homepage: https://scikit-learn.org
- Size: 157 MB
- Stars: 60,016
- Watchers: 2,142
- Forks: 25,390
- Open Issues: 2,068
-
Metadata Files:
- Readme: README.rst
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: COPYING
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Security: SECURITY.md
-
Funding.yml:
- Custom: https://numfocus.org/donate-to-scikit-learn
- Funding Links:
Owner metadata:
- Name: scikit-learn
- Login: scikit-learn
- Email:
- Kind: organization
- Description: Repositories related to the scikit-learn Python machine learning library.
- Website: http://scikit-learn.org
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/365630?v=4
- Repositories: 15
- Last Synced at: 2024-10-29T13:06:58.454Z
- Profile URL: https://github.com/scikit-learn
- Sponsor URL:
Committers metadata
Last synced: about 1 month ago
Total Commits: 28,918
Total Committers: 3,192
Avg Commits per committer: 9.06
Development Distribution Score (DDS): 0.935
Commits in past year: 1,285
Committers in past year: 280
Avg Commits per committer in past year: 4.589
Development Distribution Score (DDS) in past year: 0.873
Name | Commits | |
---|---|---|
Olivier Grisel | o****l@e****g | 1881 |
Fabian Pedregosa | f****a@i****r | 1566 |
Andreas Mueller | a****r@a****e | 1541 |
Gael Varoquaux | g****x@i****r | 1442 |
Lars Buitinck | L****k@u****l | 1117 |
Thomas J. Fan | t****n@g****m | 911 |
Gilles Louppe | g****e@g****m | 745 |
Peter Prettenhofer | p****r@g****m | 723 |
Alexandre Gramfort | a****t@i****r | 708 |
Vlad Niculae | v****d@v****o | 681 |
Mathieu Blondel | m****u@m****g | 664 |
Joel Nothman | j****n@g****m | 651 |
Guillaume Lemaitre | g****8@g****m | 570 |
Arnaud Joly | a****y@u****e | 530 |
Loic Esteve | l****e@y****m | 481 |
Jérémie du Boisberranger | 3****b | 335 |
Jaques Grobler | j****r@i****r | 308 |
Jake VanderPlas | v****s@a****u | 293 |
Adrin Jalali | a****i@g****m | 275 |
Manoj Kumar | m****4@g****m | 257 |
Hanmin Qin | q****5@s****m | 254 |
Nicolas Hug | c****t@n****m | 250 |
Andreas Mueller | a****r@n****u | 217 |
Jan Hendrik Metzen | j****m@i****e | 210 |
Nelle Varoquaux | n****x@g****m | 204 |
Robert Layton | r****n@g****m | 204 |
Noel Dawe | N****e@c****h | 169 |
scikit-learn-bot | t****v@g****m | 167 |
Brian Holt | b****8@c****k | 154 |
Lucy Liu | j****6@g****m | 146 |
and 3162 more... |
Issue and Pull Request metadata
Last synced: about 1 month ago
Package metadata
- Total packages: 13
-
Total downloads:
- pypi: 77,296,166 last-month
- Total docker downloads: 1,453,109,205
- Total dependent packages: 9,300 (may contain duplicates)
- Total dependent repositories: 152,756 (may contain duplicates)
- Total versions: 156
- Total maintainers: 17
- Total advisories: 3
pypi: scikit-learn
A set of python modules for machine learning and data mining
- Homepage: https://scikit-learn.org
- Documentation: https://scikit-learn.readthedocs.io/
- Licenses: BSD 3-Clause License Copyright (c) 2007-2024 The scikit-learn developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- Latest release: 1.4.2 (published 9 months ago)
- Last Synced: 2024-11-11T01:12:05.463Z (about 1 month ago)
- Versions: 80
- Dependent Packages: 8,580
- Dependent Repositories: 142,401
- Downloads: 77,293,528 Last month
- Docker Downloads: 1,453,109,205
-
Rankings:
- Dependent packages count: 0.002%
- Dependent repos count: 0.005%
- Forks count: 0.017%
- Downloads: 0.022%
- Average: 0.023%
- Stargazers count: 0.04%
- Docker downloads count: 0.049%
- Maintainers (8)
- Advisories:
conda: scikit-learn
- Homepage: http://scikit-learn.org/
- Licenses: BSD-3-Clause
- Latest release: 1.1.3 (published about 2 years ago)
- Last Synced: 2024-10-29T13:17:57.050Z (about 2 months ago)
- Versions: 31
- Dependent Packages: 647
- Dependent Repositories: 5,166
-
Rankings:
- Dependent repos count: 0.04%
- Dependent packages count: 0.08%
- Forks count: 0.085%
- Average: 0.099%
- Stargazers count: 0.19%
conda: scikit-learn
Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection, model evaluation, and many other utilities.
- Homepage: https://scikit-learn.org/
- Licenses: BSD-3-Clause
- Latest release: 1.4.2 (published 8 months ago)
- Last Synced: 2024-11-10T23:51:08.935Z (about 1 month ago)
- Versions: 27
- Dependent Packages: 73
- Dependent Repositories: 5,166
-
Rankings:
- Dependent repos count: 0.242%
- Dependent packages count: 0.393%
- Forks count: 0.393%
- Average: 0.408%
- Stargazers count: 0.604%
pypi: scikits.learn
A set of python modules for machine learning and data mining
- Homepage: http://scikit-learn.sourceforge.net
- Documentation: https://scikits.learn.readthedocs.io/
- Licenses: new BSD
- Latest release: 0.8.1 (published about 13 years ago)
- Last Synced: 2024-11-10T23:51:02.974Z (about 1 month ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 17
- Downloads: 1,268 Last month
-
Rankings:
- Dependent repos count: 3.498%
- Average: 7.172%
- Downloads: 7.893%
- Dependent packages count: 10.126%
- Maintainers (2)
pypi: recommender-testing11
simple random movie recommender
- Homepage: https://github.com/scikit-learn/scikit-learn/tree/main/sklearn/datasets
- Documentation: https://recommender-testing11.readthedocs.io/
- Licenses: Open Source
- Latest release: 0.5 (published almost 2 years ago)
- Last Synced: 2024-11-10T23:50:59.447Z (about 1 month ago)
- Versions: 5
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 203 Last month
-
Rankings:
- Forks count: 0.005%
- Stargazers count: 0.012%
- Dependent packages count: 6.886%
- Average: 9.368%
- Dependent repos count: 30.571%
- Maintainers (1)
pypi: scikit-learn_runnr
A set of python modules for machine learning and data mining
- Homepage: http://scikit-learn.org
- Documentation: https://scikit-learn_runnr.readthedocs.io/
- Licenses: new BSD
- Latest release: 0.18.dev0 (published over 1 year ago)
- Last Synced: 2024-11-10T23:50:40.104Z (about 1 month ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 2
- Downloads: 83 Last month
-
Rankings:
- Dependent packages count: 10.082%
- Dependent repos count: 11.568%
- Average: 13.732%
- Downloads: 19.546%
- Maintainers (1)
pypi: spoke-scikit-learn
A set of python modules for machine learning and data mining
- Homepage: http://scikit-learn.org
- Documentation: https://spoke-scikit-learn.readthedocs.io/
- Licenses: new BSD
- Latest release: 0.19.dev0 (published almost 5 years ago)
- Last Synced: 2024-11-10T23:50:47.161Z (about 1 month ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 74 Last month
-
Rankings:
- Dependent packages count: 10.069%
- Average: 17.971%
- Dependent repos count: 21.628%
- Downloads: 22.216%
- Maintainers (1)
pypi: binooculars
A tiny, yet blazingly fast machine learning library written in Rust with Python interface.
- Homepage:
- Documentation: https://binooculars.readthedocs.io/
- Licenses: bsd-3-clause
- Latest release: 0.0.2 (published over 1 year ago)
- Last Synced: 2024-11-10T23:50:55.900Z (about 1 month ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 380 Last month
-
Rankings:
- Dependent packages count: 7.139%
- Average: 19.884%
- Dependent repos count: 32.63%
- Maintainers (1)
pypi: scikit-learn-val
Extended functionality of scikit-learn: Now train_test_split function can return three subsets for train, test and validation.
- Homepage: http://scikit-learn.org
- Documentation: https://scikit-learn-val.readthedocs.io/
- Licenses: new BSD
- Latest release: 0.0.1 (published over 4 years ago)
- Last Synced: 2024-11-10T23:50:18.945Z (about 1 month ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 225 Last month
-
Rankings:
- Dependent packages count: 10.105%
- Downloads: 17.788%
- Dependent repos count: 21.593%
- Average: 23.627%
- Forks count: 29.81%
- Stargazers count: 38.839%
- Maintainers (1)
pypi: scikit-learn-3way-split
Added new function train_test_val_split that returns three subsets for train, test and validation.
- Homepage: http://scikit-learn.org
- Documentation: https://scikit-learn.org/stable/documentation.html
- Licenses: new BSD
- Latest release: 0.0.1 (published over 4 years ago)
- Last Synced: 2024-11-10T23:50:29.340Z (about 1 month ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 102 Last month
-
Rankings:
- Dependent packages count: 10.109%
- Downloads: 20.679%
- Dependent repos count: 21.559%
- Average: 24.197%
- Forks count: 29.802%
- Stargazers count: 38.833%
- Maintainers (1)
pypi: trajminer
A trajectory mining library
- Homepage: https://trajminer.github.io/
- Documentation: https://trajminer.readthedocs.io/
- Licenses: MIT License
- Latest release: 0.1.0a1 (published over 5 years ago)
- Last Synced: 2024-11-10T23:50:44.690Z (about 1 month ago)
- Versions: 3
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 95 Last month
-
Rankings:
- Dependent packages count: 10.095%
- Dependent repos count: 21.615%
- Average: 30.77%
- Downloads: 60.598%
- Maintainers (1)
pypi: scikit-learn-gini
A set of python modules for machine learning and data mining
- Homepage: https://scikit-learn.org
- Documentation: https://scikit-learn.org/stable/documentation.html
- Licenses: new BSD
- Latest release:
- Last Synced: 2024-11-10T23:50:46.425Z (about 1 month ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 208 Last month
-
Rankings:
- Dependent packages count: 10.172%
- Average: 33.712%
- Dependent repos count: 57.251%
- Maintainers (1)
pypi: sklearn-gini
A set of python modules for machine learning and data mining
- Homepage: https://scikit-learn.org
- Status: removed
- Documentation: https://scikit-learn.org/stable/documentation.html
- Licenses: new BSD
- Latest release:
- Last Synced: 2024-11-10T23:50:44.662Z (about 1 month ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 10.172%
- Average: 33.712%
- Dependent repos count: 57.251%
- Maintainers (1)
Dependencies
- matplotlib *
- pandas *
- scikit-image *
- scikit-learn *
- sphinx-gallery *
- cython *
- joblib ==1.0.0
- pytest ==5.0.1
- threadpoolctl ==2.2.0
- cython *
- joblib *
- matplotlib *
- numpy *
- pytest ==6.2.5
- pytest-xdist *
- scipy *
- threadpoolctl *
- cython *
- joblib ==1.0.0
- pytest *
- pytest-xdist *
- threadpoolctl ==2.0.0
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