https://github.com/syedalimohsinbukhari/pymultifit

A library to fit the data with multiple fitters.
https://github.com/syedalimohsinbukhari/pymultifit

fitting-algorithm python3 scipy statistical-distributions statistics univariate-analysis

Last synced: about 2 months ago
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A library to fit the data with multiple fitters.

• Host: GitHub
• URL: https://github.com/syedalimohsinbukhari/pymultifit
• Owner: syedalimohsinbukhari
• License: mit
• Created: 2024-07-17T18:56:06.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2025-04-03T09:50:23.000Z (about 2 months ago)
• Last Synced: 2025-04-03T10:35:38.660Z (about 2 months ago)
• Topics: fitting-algorithm, python3, scipy, statistical-distributions, statistics, univariate-analysis
• Language: Python
• Homepage: https://pymultifit.readthedocs.io/latest/
• Size: 85.3 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# `pyMultiFit`

- [`pyMultiFit`](#pymultifit)

  - [What is `pymultifit`](#what-is-pymultifit)

  - [How to install](#how-to-install)

  - [Documentation](#documentation)

A python multi-fit library for fitting the data with multiple `X` fitters.

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## What is `pymultifit`

`pymultifit` is a library made specifically to tackle one problem, **fit the data with multiple fitters**.

Fitter implementations include,

- `Gaussian` fitter,

- `SkewedNormal` fitter,

- `LogNormal` fitter,

- `Exponential` fitter,

- `Laplace` fitter, and more.

Additionally, it provides capabilities to generated n-modal data as well through its `generators` module.

Along with this, the user can also generate probability distribution data using `distributions` module.

## How to install

Using pip: `pip install pymultifit`

## Documentation

The documentation can be found on [readthedocs](https://pymultifit.readthedocs.io/latest/)