Metadata-Version: 2.1
Name: taxbrain
Version: 2.7.0
Summary: Python library for advanced tax policy analysis
Home-page: https://github.com/PSLmodels/Tax-Brain
Author: Anderson Frailey
Author-email: andersonfrailey@gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
License-File: LICENSE.md
Requires-Dist: taxcalc
Requires-Dist: behresp
Requires-Dist: dask
Requires-Dist: bokeh

# Tax-Brain

Tax-Brain is a Python package that wraps multiple economic models in one easy
to use interface.

## Overview

Tax-Brain makes it easy for users to simulate the US tax system by providing a
single interface for multiple tax models. Currently, Tax-Brain interfaces with
[Tax-Calculator](https://github.com/PSLmodels/Tax-Calculator) and
[Behavioral-Responses](https://github.com/PSLmodels/Behavioral-Responses).
Additional models will be added in the near future to expand Tax-Brain's
capabilities to include modeling business taxation and running dynamic
general equilibrium simulations.

To learn more about how Tax-Brain works, see [the Tax-Brain documentation](http://taxbrain.pslmodels.org).

## Disclaimer

Tax-brain and its underlying models are constantly being improved upon. For
that reason, the results output by Tax-Brain may differ over time. It is
strongly suggested that the user make note of which version of Tax-Brain,
they are using when reporting their results.

## Installing Tax-Brain

You can install the latest official release from Conda using this command:
`conda install -c pslmodels taxbrain`.

Similarly, you can update to the latest release of Tax-Brain using
`conda update -c pslmodels taxbrain`.

Tax-Brain is currently not available on PyPI.

## Using Tax-Brain

View the sample code in [example.py]([example.py](http://taxbrain.pslmodels.org/content/examples/example.html)) to see how to run Tax-Brain.
Or, see [the user guide](http://taxbrain.pslmodels.org/content/usage.html)
for a more detailed walk through.

## Citing Tax-Brain

Please cite the source of your analysis as "Tax-Brain release #.#.#, author's
calculations." If you would like to link to Tax-Brain, please use
`https://github.com/PSLmodels/Tax-Brain`. It is also strongly suggested that
you describe your input data and note the versions of the underlying models.

## Tax-Brain Interface

In addition to its Python API, Tax-Brain also powers a web application on
[Compute Studio](https://compute.studio/). That application can be found
[here](https://compute.studio/PSLmodels/Tax-Brain/). The code behind the
GUI can be found in this repository in the [cs-config](https://github.com/PSLmodels/Tax-Brain/tree/master/cs-config)
directory.

## Additional Information

* [Project Road Map](https://github.com/PSLmodels/Tax-Brain/blob/master/ROADMAP.md)
* [Contributing](http://taxbrain.pslmodels.org/content/contributing/contributor_guide.html)
* [Contributors](https://github.com/PSLmodels/Tax-Brain/graphs/contributors)
* [Release History](https://github.com/PSLmodels/Tax-Brain/blob/master/RELEASES.md)

## Releasing New Versions of Tax-Brain

To release new versions of Tax-Brain, use the [Package-Builder](https://github.com/PSLmodels/Package-Builder)
tool. Before using the tool, be sure to add the conda-forge channel to your
conda config by using `conda config --add channels conda-forge`.
