# enterprise
![PyPI](https://img.shields.io/pypi/v/enterprise-pulsar)
![Conda (channel only)](https://img.shields.io/conda/vn/conda-forge/enterprise-pulsar)
[![Build Status](https://github.com/nanograv/enterprise/workflows/CI-Tests/badge.svg)](https://github.com/nanograv/enterprise/actions)
[![Documentation Status](https://readthedocs.org/projects/enterprise/badge/?version=latest)](https://enterprise.readthedocs.io/en/latest/?badge=latest)
[![Test Coverage](https://codecov.io/gh/nanograv/enterprise/branch/master/graph/badge.svg?token=YXSX3293VF)](https://codecov.io/gh/nanograv/enterprise)
![Python Versions](https://img.shields.io/badge/python-3.8%2C%203.9%2C%203.10%2C%203.11%2C%203.12-blue.svg)
[![Zenodo DOI 4059815](https://zenodo.org/badge/DOI/10.5281/zenodo.4059815.svg)](https://doi.org/10.5281/zenodo.4059815)
ENTERPRISE (Enhanced Numerical Toolbox Enabling a Robust PulsaR
Inference SuitE) is a pulsar timing analysis code, aimed at noise
analysis, gravitational-wave searches, and timing model analysis.
- Note: `enterprise>=3.0` does not support Python2.7. You must use
Python \>= 3.8.
- Free software: MIT license
- Documentation: <https://enterprise.readthedocs.io>.
## Installation
To install via `pip`, some non-python dependencies are required. See the
[libstempo](https://github.com/vallis/libstempo#pip-install) and
[scikit-sparse](https://github.com/scikit-sparse/scikit-sparse#with-pip)
documentation for more info on how to install these dependencies. Once
these are installed, you can do
```bash
pip install enterprise-pulsar
```
To install via `conda`, simply do
```bash
conda install -c conda-forge enterprise-pulsar
```
## Attribution
If you make use of this software, please cite it:
Ellis, J. A., Vallisneri, M., Taylor, S. R., & Baker, P. T. (2020, September 29). ENTERPRISE: Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE (v3.0.0). Zenodo. http://doi.org/10.5281/zenodo.4059815
@misc{enterprise,
author = {Justin A. Ellis and Michele Vallisneri and Stephen R. Taylor and Paul T. Baker},
title = {ENTERPRISE: Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE},
month = sep,
year = 2020,
howpublished = {Zenodo},
doi = {10.5281/zenodo.4059815},
url = {https://doi.org/10.5281/zenodo.4059815}
}
## Credits
This package was created with
[Cookiecutter](https://github.com/audreyr/cookiecutter) and the
[audreyr/cookiecutter-pypackage](https://github.com/audreyr/cookiecutter-pypackage)
project template.
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