JOSS: https://github.com/acerbilab/pyvbmc
bayesian-inference data-analysis gaussian-processes machine-learning python variational-inference
Score: 12.103375247291831
Last synced: about 20 hours ago
JSON representation
Repository metadata:
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
- Host: GitHub
- URL: https://github.com/acerbilab/pyvbmc
- Owner: acerbilab
- License: bsd-3-clause
- Created: 2021-01-19T12:06:00.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2026-01-01T05:07:53.000Z (6 months ago)
- Last Synced: 2026-01-12T13:04:06.406Z (5 months ago)
- Topics: bayesian-inference, data-analysis, gaussian-processes, machine-learning, python, variational-inference
- Language: Python
- Homepage: https://acerbilab.github.io/pyvbmc/
- Size: 98.7 MB
- Stars: 123
- Watchers: 4
- Forks: 8
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
Owner metadata:
- Name: acerbilab
- Login: acerbilab
- Email:
- Kind: organization
- Description: Machine and Human Intelligence Research Group - University of Helsinki
- Website: www.helsinki.fi/machine-and-human-intelligence
- Location: Finland
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/99487879?v=4
- Repositories: 6
- Last Synced at: 2023-02-28T08:30:12.447Z
- Profile URL: https://github.com/acerbilab
GitHub Events
Total
- Create event: 7
- Delete event: 6
- Fork event: 2
- Issue comment event: 2
- Pull request event: 16
- Pull request review event: 5
- Push event: 6
- Watch event: 7
- Total: 51
Last Year
- Create event: 6
- Delete event: 6
- Fork event: 2
- Issue comment event: 2
- Pull request event: 15
- Pull request review event: 5
- Push event: 6
- Watch event: 6
- Total: 48
Committers metadata
Last synced: 8 months ago
Total Commits: 314
Total Committers: 6
Avg Commits per committer: 52.333
Development Distribution Score (DDS): 0.519
Commits in past year: 7
Committers in past year: 2
Avg Commits per committer in past year: 3.5
Development Distribution Score (DDS) in past year: 0.143
| Name | Commits | |
|---|---|---|
| Marlon Tobaben | 2****s | 151 |
| Bobby-Huggins | 7****s | 69 |
| Luigi Acerbi | l****i@g****m | 49 |
| pipme | 3****e | 33 |
| dependabot[bot] | 4****] | 9 |
| Mikko Aarnos | m****s@g****m | 3 |
Issue and Pull Request metadata
Last synced: 8 months ago
Total issues: 7
Total pull requests: 118
Average time to close issues: 5 months
Average time to close pull requests: 2 days
Total issue authors: 2
Total pull request authors: 7
Average comments per issue: 1.86
Average comments per pull request: 0.15
Merged pull request: 103
Bot issues: 0
Bot pull requests: 19
Past year issues: 0
Past year pull requests: 15
Past year average time to close issues: N/A
Past year average time to close pull requests: 9 days
Past year issue authors: 0
Past year pull request authors: 2
Past year average comments per issue: 0
Past year average comments per pull request: 0.07
Past year merged pull request: 5
Past year bot issues: 0
Past year bot pull requests: 14
Top Issue Authors
- pipme (5)
- Solosneros (2)
Top Pull Request Authors
- Solosneros (37)
- Bobby-Huggins (23)
- lacerbi (20)
- dependabot[bot] (19)
- pipme (15)
- mAarnos (3)
- aloctavodia (1)
Top Issue Labels
- bug (3)
- question (2)
- enhancement (1)
Top Pull Request Labels
- dependencies (19)
- enhancement (12)
- github_actions (8)
- documentation (5)
- bug (4)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 232 last-month
- Total dependent packages: 1
- Total dependent repositories: 0
- Total versions: 7
- Total maintainers: 2
pypi.org: pyvbmc
Variational Bayesian Monte Carlo in Python.
- Homepage:
- Documentation: https://pyvbmc.readthedocs.io/
- Licenses: BSD 3-Clause License Copyright (c) 2021, PyVBMC Developers and their Assignees All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- Latest release: 1.0.4 (published over 1 year ago)
- Last Synced: 2025-11-11T11:01:18.946Z (7 months ago)
- Versions: 7
- Dependent Packages: 1
- Dependent Repositories: 0
- Downloads: 232 Last month
-
Rankings:
- Dependent packages count: 6.633%
- Average: 18.622%
- Dependent repos count: 30.611%
- Maintainers (2)
Dependencies
- actions/checkout v3 composite
- actions/setup-python v4 composite
- actions/upload-artifact v3 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- actions/download-artifact v3 composite
- pypa/gh-action-pypi-publish v1.6.4 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- cma >= 3.1.0
- corner >= 2.2.1
- dill >= 0.3.5.1
- gpyreg >= 0.1.0
- imageio >= 2.13.5
- matplotlib >= 3.5.1
- numpy >= 1.22.1
- plotly >= 5.11.0
- pytest >= 6.2.5
- pytest-mock >= 3.6.1
- pytest-rerunfailures >= 10.2
- scipy >= 1.7.3