JOSS: https://github.com/auggiemarignier/pxmcmc
bayesian-inference inverse-problems mcmc proximal-algorithms python
Score: 7.992944547318107
Last synced: about 18 hours ago
JSON representation
Repository metadata:
Solving inverse problems with Proximal Markov Chain Monte Carlo
- Host: GitHub
- URL: https://github.com/auggiemarignier/pxmcmc
- Owner: auggiemarignier
- License: gpl-3.0
- Created: 2021-02-15T11:55:07.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2023-10-08T02:30:51.000Z (over 2 years ago)
- Last Synced: 2026-06-06T14:04:07.658Z (16 days ago)
- Topics: bayesian-inference, inverse-problems, mcmc, proximal-algorithms, python
- Language: Python
- Homepage: https://pxmcmc.readthedocs.io/en/latest/?badge=latest
- Size: 28.8 MB
- Stars: 9
- Watchers: 2
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name:
- Login: auggiemarignier
- Email:
- Kind: user
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/42379892?u=64221e7384d91459b8acbbfa96bf9410222eb831&v=4
- Repositories: 4
- Last Synced at: 2023-03-07T00:07:49.652Z
- Profile URL: https://github.com/auggiemarignier
GitHub Events
Total
- Watch event: 3
- Total: 3
Last Year
- Total: 0
Committers metadata
Last synced: 10 days ago
Total Commits: 468
Total Committers: 4
Avg Commits per committer: 117.0
Development Distribution Score (DDS): 0.126
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 | |
|---|---|---|
| Auggie Marignier | a****4@u****k | 409 |
| auggiemarignier | a****r@a****u | 37 |
| zcfbllm | z****m@l****k | 13 |
| zcfbllm | z****m@l****k | 9 |
Issue and Pull Request metadata
Last synced: about 1 month ago
Total issues: 6
Total pull requests: 13
Average time to close issues: about 1 month
Average time to close pull requests: 9 days
Total issue authors: 4
Total pull request authors: 1
Average comments per issue: 1.33
Average comments per pull request: 1.31
Merged pull request: 13
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 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
- auggiemarignier (2)
- mattpitkin (1)
- WillSturgeon (1)
- jeremiecoullon (1)
Top Pull Request Authors
- auggiemarignier (13)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 72 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 8
- Total maintainers: 1
pypi.org: pxmcmc
Proximal Markov Chain Monte Carlo
- Homepage: https://github.com/auggiemarignier/pxmcmc
- Documentation: https://pxmcmc.readthedocs.io/en/latest/index.html
- Licenses: GPL-3.0-or-later
- Latest release: 1.0.1 (published over 2 years ago)
- Last Synced: 2026-06-12T17:04:04.684Z (10 days ago)
- Versions: 8
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 72 Last month
-
Rankings:
- Dependent packages count: 10.118%
- Average: 21.072%
- Dependent repos count: 21.552%
- Forks count: 22.653%
- Stargazers count: 25.07%
- Downloads: 25.97%
- Maintainers (1)
Dependencies
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