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_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 (\u003e=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","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fexoplanet-dev%2Fexoplanet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fexoplanet-dev%2Fexoplanet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fexoplanet-dev%2Fexoplanet/lists"}