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scientificfitting

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Python interface to the ScientificFitting Julia numerical core

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::scientificfitting

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Usage Tracking

0.2.0
1 / 8 versions selected
Downloads (Last 6 months): 0

Description

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.

About

Summary

Python interface to the ScientificFitting Julia numerical core

Last Updated

Sep 11, 2026 at 09:29

License

MIT

Supported Platforms

noarch