JOSS: https://github.com/LRydin/KramersMoyal
diffusion drift drift-diffusion kernel-density-estimation nadaraya-watson stochastic stochastic-differential-equations stochastic-process
Score: 10.774676310497863
Last synced: about 8 hours ago
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Repository metadata:
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
- Host: GitHub
- URL: https://github.com/LRydin/KramersMoyal
- Owner: LRydin
- License: mit
- Created: 2019-04-27T09:22:14.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2026-03-05T13:51:35.000Z (4 months ago)
- Last Synced: 2026-05-11T02:16:00.956Z (about 1 month ago)
- Topics: diffusion, drift, drift-diffusion, kernel-density-estimation, nadaraya-watson, stochastic, stochastic-differential-equations, stochastic-process
- Language: Python
- Homepage:
- Size: 4.69 MB
- Stars: 77
- Watchers: 5
- Forks: 13
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name: Rydin
- Login: LRydin
- Email:
- Kind: user
- Description: I had cereals for breakfast
- Website:
- Location: Oslo, Norway
- Twitter:
- Company: OsloMet
- Icon url: https://avatars.githubusercontent.com/u/47757762?u=5554c960be728a07a74b9cd307896f16e30030f2&v=4
- Repositories: 4
- Last Synced at: 2023-03-03T14:30:47.034Z
- Profile URL: https://github.com/LRydin
GitHub Events
Total
- Issue comment event: 3
- Issues event: 2
- Pull request event: 3
- Push event: 6
- Watch event: 9
- Total: 23
Last Year
- Issue comment event: 1
- Issues event: 1
- Watch event: 1
- Total: 3
Committers metadata
Last synced: 11 days ago
Total Commits: 170
Total Committers: 5
Avg Commits per committer: 34.0
Development Distribution Score (DDS): 0.206
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 | |
|---|---|---|
| Rydin | l****n@g****m | 135 |
| Francisco Meirinhos | f****s@g****m | 29 |
| Meirinhos | 3 | |
| Kristen Thyng | k****g@g****m | 2 |
| Arfon Smith | a****n | 1 |
Issue and Pull Request metadata
Last synced: about 2 months ago
Total issues: 11
Total pull requests: 13
Average time to close issues: 4 months
Average time to close pull requests: 2 months
Total issue authors: 9
Total pull request authors: 5
Average comments per issue: 3.55
Average comments per pull request: 0.46
Merged pull request: 11
Bot issues: 0
Bot pull requests: 0
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: 3.0
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: 0
Top Issue Authors
- dawbarton (2)
- Shibabrat (2)
- potatchipsxp (1)
- ZachMcBreartyUU (1)
- jasnyder (1)
- apathanasiadis (1)
- fmeirinhos (1)
- rodrigomp84 (1)
- LRydin (1)
Top Pull Request Authors
- LRydin (6)
- fmeirinhos (3)
- kthyng (2)
- williamjsdavis (1)
- arfon (1)
Top Issue Labels
- bug (1)
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 119 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 3
- Total maintainers: 1
pypi.org: kramersmoyal
Calculate Kramers-Moyal coefficients for stochastic process of any dimension, up to any order.
- Homepage: https://github.com/LRydin/KramersMoyal
- Documentation: https://kramersmoyal.readthedocs.io/
- Licenses: MIT License
- Latest release: 0.4.1 (published almost 3 years ago)
- Last Synced: 2026-06-12T18:00:25.013Z (11 days ago)
- Versions: 3
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 119 Last month
-
Rankings:
- Stargazers count: 8.813%
- Dependent packages count: 10.032%
- Forks count: 10.156%
- Average: 15.442%
- Dependent repos count: 21.662%
- Downloads: 26.544%
- Maintainers (1)
Dependencies
- numpy *
- scipy *
- actions/checkout v4 composite
- actions/setup-python v5 composite
- codecov/codecov-action v5 composite