<p align="center">
<img width="240" src="https://raw.githubusercontent.com/exoplanet-dev/exoplanet/main/docs/_static/logo.png">
<br><br>
<a href="https://github.com/exoplanet-dev/exoplanet/actions/workflows/tests.yml">
<img src="https://github.com/exoplanet-dev/exoplanet/actions/workflows/tests.yml/badge.svg" alt="Tests">
</a>
<a href="https://docs.exoplanet.codes">
<img src="https://readthedocs.org/projects/exoplanet/badge/?version=latest" alt="Docs">
</a>
<a href="https://coveralls.io/github/exoplanet-dev/exoplanet?branch=main">
<img src="https://coveralls.io/repos/github/exoplanet-dev/exoplanet/badge.svg?branch=main" alt="Coverage">
</a>
</p>
# exoplanet
Fast & scalable MCMC for all your exoplanet needs! _exoplanet_ is a toolkit for
probabilistic modeling of time series data in astronomy with a focus on
observations of [exoplanets](https://en.wikipedia.org/wiki/Exoplanet), using
[PyMC](https://www.pymc.io). _PyMC_ is a flexible and high-performance
model-building language and inference engine that scales well to problems with a
large number of parameters. _exoplanet_ extends _PyMC_'s language to support
many of the custom functions and distributions required when fitting exoplanet
datasets.
Read the full documentation at [docs.exoplanet.codes](https://docs.exoplanet.codes).
## Installation
The quickest way to get started is to use [pip](https://pip.pypa.io):
```bash
python -m pip install "exoplanet[pymc]"
```
Note that you will need Python (>=3.6) installed for this to work, but then this
will install all the required dependencies.
Check out the [main installation documentation
page](https://docs.exoplanet.codes/en/latest/user/install/) for more options.
## Usage
Check out the tutorials and API docs on [the docs
page](https://docs.exoplanet.codes) for example usage and much more info. You
can also find more in-depth examples on the [exoplanet case studies
page](https://gallery.exoplanet.codes).
## Contributing
_exoplanet_ is an open-source project, and we would love it if you wanted to
contribute. Check out [the developer
documentation](https://docs.exoplanet.codes/en/latest/user/dev/) for more info
about getting started.
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"description": "<p align=\"center\">\n <img width=\"240\" src=\"https://raw.githubusercontent.com/exoplanet-dev/exoplanet/main/docs/_static/logo.png\">\n <br><br>\n <a href=\"https://github.com/exoplanet-dev/exoplanet/actions/workflows/tests.yml\">\n <img src=\"https://github.com/exoplanet-dev/exoplanet/actions/workflows/tests.yml/badge.svg\" alt=\"Tests\">\n </a>\n <a href=\"https://docs.exoplanet.codes\">\n <img src=\"https://readthedocs.org/projects/exoplanet/badge/?version=latest\" alt=\"Docs\">\n </a>\n <a href=\"https://coveralls.io/github/exoplanet-dev/exoplanet?branch=main\">\n <img src=\"https://coveralls.io/repos/github/exoplanet-dev/exoplanet/badge.svg?branch=main\" alt=\"Coverage\">\n </a>\n</p>\n\n# exoplanet\n\nFast & scalable MCMC for all your exoplanet needs! _exoplanet_ is a toolkit for\nprobabilistic modeling of time series data in astronomy with a focus on\nobservations of [exoplanets](https://en.wikipedia.org/wiki/Exoplanet), using\n[PyMC](https://www.pymc.io). _PyMC_ is a flexible and high-performance\nmodel-building language and inference engine that scales well to problems with a\nlarge number of parameters. _exoplanet_ extends _PyMC_'s language to support\nmany of the custom functions and distributions required when fitting exoplanet\ndatasets.\n\nRead the full documentation at [docs.exoplanet.codes](https://docs.exoplanet.codes).\n\n## Installation\n\nThe quickest way to get started is to use [pip](https://pip.pypa.io):\n\n```bash\npython -m pip install \"exoplanet[pymc]\"\n```\n\nNote that you will need Python (>=3.6) installed for this to work, but then this\nwill install all the required dependencies.\n\nCheck out the [main installation documentation\npage](https://docs.exoplanet.codes/en/latest/user/install/) for more options.\n\n## Usage\n\nCheck out the tutorials and API docs on [the docs\npage](https://docs.exoplanet.codes) for example usage and much more info. You\ncan also find more in-depth examples on the [exoplanet case studies\npage](https://gallery.exoplanet.codes).\n\n## Contributing\n\n_exoplanet_ is an open-source project, and we would love it if you wanted to\ncontribute. Check out [the developer\ndocumentation](https://docs.exoplanet.codes/en/latest/user/dev/) for more info\nabout getting started.\n",
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