https://github.com/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.

numerical-differentiation numerical-optimization parallel-computing python

Last synced: 21 Oct 2025

https://github.com/optimagic-dev/euroscipy-estimagic

Companion repository to the tutorial "Introduction to numerical optimization" at the EuroSciPy 2023

Last synced: 31 Oct 2025

https://github.com/optimagic-dev/optimini

A super minimalist bare bones rewrite to illustrate the core architectural ideas behind optimagic.

Last synced: 23 Feb 2026

https://github.com/optimagic-dev/estimagic_tables_examples

This repository collects a set of example tables produced by `estimagic.estimation_table`

Last synced: 26 Feb 2026