Metadata-Version: 2.1
Name: policyengine-us
Version: 0.363.0
Summary: PolicyEngine tax and benefit system for the US
Home-page: https://github.com/PolicyEngine/policyengine-us
Author: PolicyEngine
Author-email: hello@policyengine.org
License: http://www.fsf.org/licensing/licenses/agpl-3.0.html
Keywords: benefit microsimulation social tax
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Information Analysis
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Description-Content-Type: text/markdown
License-File: LICENSE
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# PolicyEngine US

[![codecov](https://codecov.io/gh/PolicyEngine/policyengine-us/branch/master/graph/badge.svg?token=BLoCjCf5Qr)](https://codecov.io/gh/PolicyEngine/policyengine-us)
[![PyPI version](https://badge.fury.io/py/policyengine-us.svg)](https://badge.fury.io/py/policyengine-us)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

PolicyEngine US is a microsimulation model of the US state and federal tax and benefit system.
It is built and primarily supported by [PolicyEngine](https://policyengine.org).
Other contributors include:
* [OpenFisca](https://openfisca.org), which developed the microsimulation framework upon which PolicyEngine is based
* [The Center for Growth and Opportunity](https://thecgo.org), which funded the development of state income tax models in Maryland, Massachusetts, and Washington state
* [End Poverty Make Trillions](https://www.endpovertymaketrillions.com/), which has provided unrestricted grant funding
* [Innovation Network for Communities](https://in4c.net/), which funded the development of population-level cliff analysis

To install, run `pip install policyengine-us`.

To contribute, please see the [wiki](https://github.com/PolicyEngine/policyengine-us/wiki).

See our documentation with interactive notebooks at https://policyengine.github.io/policyengine-us.


