JOSS: https://github.com/scikit-learn-contrib/forest-confidence-interval
Score: 19.775776160131723
Last synced: about 4 hours ago
JSON representation
Repository metadata:
Confidence intervals for scikit-learn forest algorithms
- Host: GitHub
- URL: https://github.com/scikit-learn-contrib/forest-confidence-interval
- Owner: scikit-learn-contrib
- License: mit
- Created: 2016-04-26T16:23:12.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2026-04-13T17:22:34.000Z (2 months ago)
- Last Synced: 2026-05-17T06:03:09.689Z (about 1 month ago)
- Language: HTML
- Homepage: http://contrib.scikit-learn.org/forest-confidence-interval/
- Size: 11.5 MB
- Stars: 288
- Watchers: 14
- Forks: 52
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- Contributing: docs/contributing.rst
- License: LICENSE
Owner metadata:
- Name: scikit-learn-contrib
- Login: scikit-learn-contrib
- Email:
- Kind: organization
- Description: scikit-learn compatible projects
- Website: http://contrib.scikit-learn.org
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/17349883?v=4
- Repositories: 27
- Last Synced at: 2024-03-25T20:03:09.812Z
- Profile URL: https://github.com/scikit-learn-contrib
GitHub Events
Total
- Create event: 2
- Delete event: 1
- Fork event: 2
- Issue comment event: 1
- Member event: 1
- Pull request event: 5
- Push event: 4
- Watch event: 9
- Total: 25
Last Year
- Create event: 1
- Watch event: 3
- Total: 4
Committers metadata
Last synced: 27 days ago
Total Commits: 267
Total Committers: 18
Avg Commits per committer: 14.833
Development Distribution Score (DDS): 0.566
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 | |
|---|---|---|
| arokem | a****m@g****m | 116 |
| kpolimis | k****s@g****m | 101 |
| Daniele Ongari | d****i@g****m | 12 |
| Ab2nour | 6****r | 7 |
| Vighnesh Birodkar | v****r@n****u | 5 |
| Adam Richie-Halford | r****d@g****m | 4 |
| adamwlev | a****4@m****m | 4 |
| Dominik Waurenschk | d****k@p****e | 3 |
| Cedric Wagner | c****r@r****e | 3 |
| Ludvig Hult | l****t@i****e | 3 |
| MartinUrban | M****o@g****m | 2 |
| Arfon Smith | a****n | 1 |
| Boyuan Deng | b****g@g****m | 1 |
| Eric Ma | e****g@g****m | 1 |
| Max Ghenis | m****s@g****m | 1 |
| owlas | o****t@s****k | 1 |
| Lei Ma | l****a@s****m | 1 |
| traims | p****s@g****m | 1 |
Issue and Pull Request metadata
Last synced: about 1 month ago
Total issues: 52
Total pull requests: 60
Average time to close issues: almost 2 years
Average time to close pull requests: about 1 month
Total issue authors: 38
Total pull request authors: 18
Average comments per issue: 2.75
Average comments per pull request: 1.1
Merged pull request: 52
Bot issues: 0
Bot pull requests: 1
Past year issues: 1
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 1
Past year average comments per issue: 2.0
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 1
Top Issue Authors
- DannyArends (10)
- ericmjl (4)
- tawe141 (2)
- chahakmehta (2)
- AlJohri (1)
- stasSajin (1)
- JIAZHEN (1)
- sq5rix (1)
- BSharmi (1)
- miranov25 (1)
- joachimder (1)
- AlCorreia (1)
- finbarrtimbers (1)
- CandyOates (1)
- richford (1)
Top Pull Request Authors
- arokem (20)
- kpolimis (13)
- Ab2nour (6)
- danieleongari (4)
- owlas (3)
- el-hult (2)
- olp-cs (1)
- MaxGhenis (1)
- MartinUrban (1)
- cewaphi (1)
- arfon (1)
- dependabot[bot] (1)
- richford (1)
- emptymalei (1)
- ericmjl (1)
Top Issue Labels
Top Pull Request Labels
- dependencies (1)
- python (1)
Package metadata
- Total packages: 2
-
Total downloads:
- pypi: 73,163 last-month
- Total docker downloads: 48
- Total dependent packages: 4 (may contain duplicates)
- Total dependent repositories: 40 (may contain duplicates)
- Total versions: 12
- Total maintainers: 3
pypi.org: forestci
forestci: confidence intervals for scikit-learn forest algorithms
- Homepage: http://github.com/scikit-learn-contrib/forest-confidence-interval
- Documentation: https://forestci.readthedocs.io/
- Licenses: MIT
- Latest release: 0.5.1 (published almost 5 years ago)
- Last Synced: 2026-05-27T11:05:03.276Z (27 days ago)
- Versions: 10
- Dependent Packages: 4
- Dependent Repositories: 39
- Downloads: 73,163 Last month
- Docker Downloads: 48
-
Rankings:
- Downloads: 1.789%
- Dependent packages count: 1.871%
- Dependent repos count: 2.34%
- Average: 3.236%
- Docker downloads count: 3.513%
- Stargazers count: 3.813%
- Forks count: 6.089%
- Maintainers (3)
conda-forge.org: forestci
a Python module for calculating variance and adding confidence intervals to scikit-learn random forest regression or classification objects. The core functions calculate an in-bag and error bars for random forest objects
- Homepage: https://github.com/scikit-learn-contrib/forest-confidence-interval
- Licenses: MIT
- Latest release: 0.3 (published over 3 years ago)
- Last Synced: 2026-04-01T03:21:33.849Z (3 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 1
-
Rankings:
- Stargazers count: 22.96%
- Dependent repos count: 24.392%
- Forks count: 26.558%
- Average: 31.376%
- Dependent packages count: 51.594%
Dependencies
- JamesIves/github-pages-deploy-action releases/v3 composite
- actions/checkout v1 composite
- actions/setup-python v1 composite
- actions/upload-artifact v1 composite
- actions/checkout v1 composite
- actions/setup-python v1 composite
- flake8 * development
- matplotlib * development
- numpydoc * development
- pandas * development
- pillow * development
- pytest ==5.2.2 development
- pytest-cov ==2.8.1 development
- sphinx * development
- sphinx-autoapi * development
- sphinx_gallery * development
- sphinx_rtd_theme * development
- numpy >=1.20
- scikit-learn >=0.23.1