JOSS: https://github.com/aneeshnaik/lintsampler
low-discrepancy-sequence numpy python random-generation random-sampling statistics
Score: 8.884610231886871
Last synced: about 23 hours ago
JSON representation
Repository metadata:
Efficient random sampling via linear interpolation.
- Host: GitHub
- URL: https://github.com/aneeshnaik/lintsampler
- Owner: aneeshnaik
- License: mit
- Created: 2024-02-06T11:19:10.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2026-07-27T17:02:32.000Z (24 days ago)
- Last Synced: 2026-08-05T23:51:39.757Z (15 days ago)
- Topics: low-discrepancy-sequence, numpy, python, random-generation, random-sampling, statistics
- Language: Python
- Homepage: https://lintsampler.readthedocs.io
- Size: 54.1 MB
- Stars: 18
- Watchers: 3
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name: Aneesh Naik
- Login: aneeshnaik
- Email:
- Kind: user
- Description:
- Website: https://aneeshnaik.github.io/
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/48957123?u=a9db14430013b1e7637461313d6156efb41f87bc&v=4
- Repositories: 3
- Last Synced at: 2023-03-10T06:01:03.139Z
- Profile URL: https://github.com/aneeshnaik
GitHub Events
Total
- Fork event: 1
- Issue comment event: 3
- Issues event: 3
- Push event: 1
- Watch event: 9
- Total: 17
Last Year
- Push event: 1
- Watch event: 1
- Total: 2
Committers metadata
Last synced: 2 days ago
Total Commits: 280
Total Committers: 2
Avg Commits per committer: 140.0
Development Distribution Score (DDS): 0.207
Commits in past year: 4
Committers in past year: 1
Avg Commits per committer in past year: 4.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Aneesh Naik | 4****k | 222 |
| michael-petersen | p****s@g****m | 58 |
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 8
Total pull requests: 19
Average time to close issues: 2 months
Average time to close pull requests: 14 days
Total issue authors: 5
Total pull request authors: 3
Average comments per issue: 1.75
Average comments per pull request: 1.32
Merged pull request: 14
Bot issues: 0
Bot pull requests: 0
Past year issues: 1
Past year pull requests: 1
Past year average time to close issues: about 2 hours
Past year average time to close pull requests: 3 minutes
Past year issue authors: 1
Past year pull request authors: 1
Past year average comments per issue: 4.0
Past year average comments per pull request: 0.0
Past year merged pull request: 1
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- vankesteren (4)
- charlieprior (1)
- matt-graham (1)
- brgstfzj (1)
- WuShichao (1)
Top Pull Request Authors
- michael-petersen (10)
- aneeshnaik (7)
- jbytecode (2)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 189 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 8
- Total maintainers: 1
pypi.org: lintsampler
Efficient random sampling via linear interpolation.
- Homepage: https://github.com/aneeshnaik/lintsampler
- Documentation: https://lintsampler.readthedocs.io
- Licenses: MIT License
- Latest release: 1.0.1 (published 24 days ago)
- Last Synced: 2026-08-19T05:00:40.285Z (2 days ago)
- Versions: 8
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 189 Last month
-
Rankings:
- Dependent packages count: 9.676%
- Average: 36.758%
- Dependent repos count: 63.84%
- Maintainers (1)
Dependencies
- actions/checkout v3 composite
- pypa/gh-action-pypi-publish release/v1 composite
- EndBug/add-and-commit v9 composite
- actions/checkout v4 composite
- actions/upload-artifact v3 composite
- openjournals/openjournals-draft-action master composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- actions/setup-python v5 composite
- emcee
- lintsampler
- matplotlib
- myst-nb 1.0.0
- numpy
- numpydoc
- scikit-learn
- scipy
- sphinx
- sphinx-book-theme
- numpy >=1.17,<3.0
- scipy >=1.9,<2.0
- coverage >=7.14 test
- coveralls >=4.1 test
- numpy >=1.17 test
- pytest >=9.1 test
- scipy >=1.12 test