GitHub / optimagic-dev / optimagic
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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/optimagic-dev%2Foptimagic
Stars: 281
Forks: 43
Open issues: 37
License: mit
Language: Python
Size: 27.9 MB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: 8 days ago
Pushed at: 14 days ago
Last synced at: 5 days ago
Commit Stats
Commits: 360
Authors: 32
Mean commits per author: 11.25
Development Distribution Score: 0.558
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/optimagic-dev/optimagic
Topics: numerical-differentiation, numerical-optimization, parallel-computing, python