optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.
active 2024-07-12 → 2024-08-25 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 45 days from 2024-07-12 to 2024-08-25. Pushes: 222 total, peak 19 in a day. Pull requests: 37 total, peak 5 in a day. Issues: 3 total, peak 1 in a day. Comments: 133 total, peak 26 in a day. Stars: 13 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| janosg | 246 | 98 | 19 | 77 |
| timmens | 124 | 66 | 15 | 23 |
| schroedk | 57 | 38 | 2 | 9 |
| mpetrosian | 17 | 13 | 0 | 0 |
| review-notebook-app[bot] | 13 | 0 | 0 | 13 |
| codecov[bot] | 11 | 0 | 0 | 11 |
| pre-commit-ci[bot] | 8 | 7 | 1 | 0 |
| hmgaudecker | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 13 stars here means stars gained during the window, not the repo's star count.