JOSS: https://github.com/ronikobrosly/causal-curve
Score: 14.477076252035415
Last synced: about 3 hours ago
JSON representation
Repository metadata:
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
- Host: GitHub
- URL: https://github.com/ronikobrosly/causal-curve
- Owner: ronikobrosly
- License: mit
- Created: 2020-04-15T19:30:24.000Z (about 6 years ago)
- Default Branch: main
- Last Pushed: 2026-01-05T17:41:54.000Z (6 months ago)
- Last Synced: 2026-06-16T21:01:14.401Z (6 days ago)
- Language: Python
- Homepage:
- Size: 3.56 MB
- Stars: 283
- Watchers: 6
- Forks: 19
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name: Roni Kobrosly
- Login: ronikobrosly
- Email:
- Kind: user
- Description: data person 💻
- Website: https://www.kobrosly.net
- Location: Washington DC
- Twitter:
- Company: DrFirst
- Icon url: https://avatars.githubusercontent.com/u/9450972?u=f7b7eb9d70a53f84546387a4372fd524d2328c9c&v=4
- Repositories: 8
- Last Synced at: 2023-02-27T08:45:16.700Z
- Profile URL: https://github.com/ronikobrosly
GitHub Events
Total
- Fork event: 1
- Watch event: 7
- Total: 8
Last Year
- Fork event: 1
- Watch event: 2
- Total: 3
Committers metadata
Last synced: 2 days ago
Total Commits: 104
Total Committers: 4
Avg Commits per committer: 26.0
Development Distribution Score (DDS): 0.038
Commits in past year: 1
Committers in past year: 1
Avg Commits per committer in past year: 1.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Roni Kobrosly | r****y@g****m | 100 |
| dirk | d****r@g****m | 2 |
| rkobrosly | r****y@d****m | 1 |
| Roni Kobrosly | r****y@R****l | 1 |
Issue and Pull Request metadata
Last synced: 19 days ago
Total issues: 25
Total pull requests: 23
Average time to close issues: 21 days
Average time to close pull requests: about 5 hours
Total issue authors: 10
Total pull request authors: 2
Average comments per issue: 2.52
Average comments per pull request: 0.61
Merged pull request: 23
Bot issues: 0
Bot pull requests: 0
Past year issues: 1
Past year pull requests: 0
Past year average time to close issues: 3 days
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 3.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- ronikobrosly (13)
- athammad (2)
- nsankar (2)
- v6l4188 (2)
- juandavidgutier (1)
- dirknbr (1)
- AlexMa011 (1)
- alexjonesphd (1)
- NiklasTR (1)
- gabeschulman (1)
Top Pull Request Authors
- ronikobrosly (21)
- dirknbr (4)
Top Issue Labels
- bug (7)
- documentation (5)
- enhancement (4)
- question (1)
Top Pull Request Labels
Package metadata
- Total packages: 2
-
Total downloads:
- pypi: 1,685 last-month
- Total dependent packages: 0 (may contain duplicates)
- Total dependent repositories: 2 (may contain duplicates)
- Total versions: 50
- Total maintainers: 1
proxy.golang.org: github.com/ronikobrosly/causal-curve
- Homepage:
- Documentation: https://pkg.go.dev/github.com/ronikobrosly/causal-curve#section-documentation
- Licenses: mit
- Latest release: v1.0.7 (published about 2 years ago)
- Last Synced: 2026-06-20T23:00:58.128Z (2 days ago)
- Versions: 33
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 5.363%
- Average: 5.543%
- Dependent repos count: 5.723%
pypi.org: causal-curve
A python library with tools to perform causal inference using observational data when the treatment of interest is continuous.
- Homepage: https://github.com/ronikobrosly/causal-curve
- Documentation: https://causal-curve.readthedocs.io/
- Licenses: MIT License
- Latest release: 1.0.6 (published about 5 years ago)
- Last Synced: 2026-06-20T23:00:55.537Z (2 days ago)
- Versions: 17
- Dependent Packages: 0
- Dependent Repositories: 2
- Downloads: 1,685 Last month
-
Rankings:
- Stargazers count: 4.032%
- Forks count: 8.898%
- Dependent packages count: 10.052%
- Average: 10.773%
- Dependent repos count: 11.575%
- Downloads: 19.308%
- Maintainers (1)
Dependencies
- black *
- coverage *
- future *
- joblib *
- numpy *
- numpydoc *
- pandas *
- patsy *
- progressbar2 *
- pygam *
- pytest *
- python-dateutil *
- python-utils *
- pytz *
- scikit-learn *
- scipy *
- six *
- sphinx_rtd_theme *
- statsmodels *
- black *
- coverage *
- future *
- joblib *
- numpy *
- numpydoc *
- pandas *
- patsy *
- progressbar2 *
- pygam *
- pytest *
- python-dateutil *
- python-utils *
- pytz *
- scikit-learn *
- scipy *
- six *
- sphinx_rtd_theme *
- statsmodels *
- black *
- coverage *
- future *
- joblib *
- numpy *
- numpydoc *
- pandas *
- patsy *
- progressbar2 *
- pygam *
- pytest *
- python-dateutil *
- python-utils *
- pytz *
- scikit-learn *
- scipy *
- six *
- sphinx_rtd_theme *
- statsmodels *