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optimagic-dev

optimagic-dev/optimagic

PythonMITactive
86Health

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.

Stars322
Forks54
Open Issues47
Contributors54
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
11
Popularity
25
#numerical-differentiation#numerical-optimization#parallel-computing#python
View on GitHub ↗Issues (47) ↗Pull Requests ↗

Should you contribute to optimagic-dev/optimagic?

optimagic-dev/optimagic has a FoundDev health score of 86/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under MIT, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

optimagic-dev86

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
★ 32254 contributors47 issues
0d ago

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