scientificfitting
Python interface to the ScientificFitting Julia numerical core
Python interface to the ScientificFitting Julia numerical core
To install this package, run one of the following:
Fit NumPy model functions with measurement uncertainties, parameter constraints, and user-defined likelihoods. Results include parameter covariance, profiles, diagnostics, and optional editable Matplotlib plots. JuliaCall manages the Julia runtime and registered ScientificFitting core; the first fit requires network access and Julia package compilation.
Summary
Python interface to the ScientificFitting Julia numerical core
Last Updated
Sep 11, 2026 at 09:29
License
MIT
Supported Platforms
GitHub Repository
https://github.com/Amin-El-Sayed/ScientificFitting.jl