# `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.
## 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.com/latest/)
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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 - [Documentation](#documentation)\n\nA python multi-fit library for fitting the data with multiple `X` fitters.\n\n\n\n\n\n\n\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- `Exponential` 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## Documentation\n\nThe documentation can be found on [readthedocs](https://pymultifit.readthedocs.com/latest/)\n",
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