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https://github.com/HdrHistogram/hdrhistogram-go
Last synced: about 4 hours ago
Repository metadata:
A pure Go implementation of Gil Tene's HDR Histogram.
- Host: GitHub
- URL: https://github.com/HdrHistogram/hdrhistogram-go
- Owner: HdrHistogram
- License: mit
- Created: 2014-07-14T00:27:16.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2021-08-24T21:10:27.000Z (about 3 years ago)
- Last Synced: 2024-10-29T17:56:01.872Z (11 days ago)
- Language: Go
- Size: 334 KB
- Stars: 436
- Watchers: 17
- Forks: 64
- Open Issues: 9
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Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name: HdrHistogram
- Login: HdrHistogram
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/6456658?v=4
- Repositories: 13
- Last Synced at: 2024-03-25T20:03:38.239Z
- Profile URL: https://github.com/HdrHistogram
- Sponsor URL:
Committers metadata
Last synced: about 7 hours ago
Total Commits: 69
Total Committers: 11
Avg Commits per committer: 6.273
Development Distribution Score (DDS): 0.623
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
Name | Commits | |
---|---|---|
filipecosta90 | f****0@g****m | 26 |
Coda Hale | c****e@g****m | 23 |
Adrian Cockcroft | a****t@g****m | 5 |
Tyler Treat | t****1@g****m | 5 |
Alec | a****n@c****m | 3 |
Carl Jackson | c****l@a****m | 2 |
Coda Hale | c****a@s****m | 1 |
Jason Toffaletti | t****i@g****m | 1 |
Jeff Jolma | j****a@g****m | 1 |
Sean Chittenden | s****n@c****g | 1 |
Tobias Schottdorf | t****f@g****m | 1 |
Issue and Pull Request metadata
Last synced: 1 day ago
Package metadata
- Total packages: 3
- Total downloads: unknown
- Total docker downloads: 3,320,944,659
- Total dependent packages: 2,488 (may contain duplicates)
- Total dependent repositories: 7,087 (may contain duplicates)
- Total versions: 18
go: github.com/HdrHistogram/hdrhistogram-go
Package hdrhistogram provides an implementation of Gil Tene's HDR Histogram data structure. The HDR Histogram allows for fast and accurate analysis of the extreme ranges of data with non-normal distributions, like latency. Histograms are encoded using the HdrHistogram V2 format which is based on an adapted ZigZag LEB128 encoding where: consecutive zero counters are encoded as a negative number representing the count of consecutive zeros non zero counter values are encoded as a positive number A typical histogram (2 digits precision 1 usec to 1 day range) can be encoded in less than the typical MTU size of 1500 bytes. The log format encodes into a single file, multiple histograms with optional shared meta data.
- Homepage: https://github.com/HdrHistogram/hdrhistogram-go
- Documentation: https://pkg.go.dev/github.com/HdrHistogram/hdrhistogram-go#section-documentation
- Licenses: MIT
- Latest release: v1.1.2 (published about 3 years ago)
- Last Synced: 2024-11-09T00:04:32.806Z (1 day ago)
- Versions: 6
- Dependent Packages: 2,488
- Dependent Repositories: 7,087
- Docker Downloads: 3,318,799,140
-
Rankings:
- Dependent packages count: 0.074%
- Docker downloads count: 0.075%
- Dependent repos count: 0.09%
- Average: 1.259%
- Stargazers count: 2.868%
- Forks count: 3.191%
go: github.com/hdrhistogram/hdrhistogram-go
Package hdrhistogram provides an implementation of Gil Tene's HDR Histogram data structure. The HDR Histogram allows for fast and accurate analysis of the extreme ranges of data with non-normal distributions, like latency.
- Homepage: https://github.com/hdrhistogram/hdrhistogram-go
- Documentation: https://pkg.go.dev/github.com/hdrhistogram/hdrhistogram-go#section-documentation
- Licenses: MIT
- Latest release: v1.1.2 (published about 3 years ago)
- Last Synced: 2024-11-09T00:04:37.385Z (1 day ago)
- Versions: 6
- Dependent Packages: 0
- Dependent Repositories: 0
- Docker Downloads: 2,145,519
-
Rankings:
- Stargazers count: 1.736%
- Forks count: 1.912%
- Average: 4.998%
- Dependent packages count: 6.999%
- Dependent repos count: 9.346%
go: github.com/hdrHistogram/hdrhistogram-go
Package hdrhistogram provides an implementation of Gil Tene's HDR Histogram data structure. The HDR Histogram allows for fast and accurate analysis of the extreme ranges of data with non-normal distributions, like latency.
- Homepage: https://github.com/hdrHistogram/hdrhistogram-go
- Documentation: https://pkg.go.dev/github.com/hdrHistogram/hdrhistogram-go#section-documentation
- Licenses: MIT
- Latest release: v1.1.2 (published about 3 years ago)
- Last Synced: 2024-11-09T00:04:55.360Z (1 day ago)
- Versions: 6
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 6.999%
- Average: 8.173%
- Dependent repos count: 9.346%