# Introduction

Formulaic is a high-performance implementation of Wilkinson formulas for Python, which are very useful for transforming dataframes into a form suitable for ingestion into various modelling frameworks (especially linear regression).

**Source Code**: https://github.com/matthewwardrop/formulaic**Issue tracker**: https://github.com/matthewwardrop/formulaic/issues

It provides:

- high-performance dataframe to model-matrix conversions.
- support for reusing the encoding choices made during conversion of one data-set on other datasets.
- extensible formula parsing.
- extensible data input/output plugins, with implementations for:
- input:
`pandas.DataFrame`

`pyarrow.Table`

- output:
`pandas.DataFrame`

`numpy.ndarray`

`scipy.sparse.CSCMatrix`

- support for symbolic differentiation of formulas (and hence model matrices).

with more to come!