# `pyMultiFit`
- [`pyMultiFit`](#pymultifit)
- [What is `pymultifit`](#what-is-pymultifit)
- [How to install](#how-to-install)
- [Modules](#modules)
A python multi-fit library for fitting the data with multiple `X` fitters.
![GitHub-licence](https://img.shields.io/github/license/syedalimohsinbukhari/pymultifit?style=for-the-badge&color=darkblue)
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![GitHub contributors](https://img.shields.io/github/contributors/syedalimohsinbukhari/pymultifit?color=gold&style=for-the-badge)
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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,
- `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`
## Modules
The following modules are currently implemented in `pymultifit` library,
1. [`distributions`](https://github.com/syedalimohsinbukhari/pyMultiFit/tree/main/docs/distributions.md)
2. [`fitters`](https://github.com/syedalimohsinbukhari/pyMultiFit/tree/main/docs/fitters.md)
3. [`generators`](https://github.com/syedalimohsinbukhari/pyMultiFit/tree/main/docs/generators.md)
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"description": "# `pyMultiFit`\n\n- [`pyMultiFit`](#pymultifit)\n - [What is `pymultifit`](#what-is-pymultifit)\n - [How to install](#how-to-install)\n - [Modules](#modules)\n\nA python multi-fit library for fitting the data with multiple `X` fitters.\n\n![GitHub-licence](https://img.shields.io/github/license/syedalimohsinbukhari/pymultifit?style=for-the-badge&color=darkblue)\n![GitHub top language](https://img.shields.io/github/languages/top/syedalimohsinbukhari/pymultifit?color=lightgreen&style=for-the-badge)\n![GitHub contributors](https://img.shields.io/github/contributors/syedalimohsinbukhari/pymultifit?color=gold&style=for-the-badge)\n![Github Issues](https://img.shields.io/github/issues/syedalimohsinbukhari/pymultifit?color=orange&style=for-the-badge)\n![GitHub OPEN PRs](https://img.shields.io/github/issues-pr/syedalimohsinbukhari/pymultifit?color=darkred&style=for-the-badge)\n![GitHub CLOSED PRs](https://img.shields.io/github/issues-pr-closed/syedalimohsinbukhari/pymultifit?color=darkgreen&style=for-the-badge)\n\n## What is `pymultifit`\n\n`pymultifit` is a library made specifically to tackle one problem, **fit the data with multiple fitters**.\n\nFitter implementations include,\n\n- `Gaussian` fitter,\n- `SkewedNormal` fitter,\n- `LogNormal` fitter,\n- `Laplace` fitter, and more.\n\nAdditionally, it provides capabilities to generated n-modal data as well through its `generators` module.\nAlong with this, the user can also generate probability distribution data using `distributions` module.\n\n## How to install\n\nUsing pip: `pip install pymultifit`\n\n## Modules\n\nThe following modules are currently implemented in `pymultifit` library,\n\n1. [`distributions`](https://github.com/syedalimohsinbukhari/pyMultiFit/tree/main/docs/distributions.md)\n2. [`fitters`](https://github.com/syedalimohsinbukhari/pyMultiFit/tree/main/docs/fitters.md)\n3. [`generators`](https://github.com/syedalimohsinbukhari/pyMultiFit/tree/main/docs/generators.md)\n",
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