Fast and scalable MCMC for all your exoplanet needs


Keywords
astronomy, astrophysics, bayesian-inference, exoplanet, exoplanet-radial-velocities, exoplanet-transits, exoplanets, gaussian-processes, mcmc, pymc3, time-series, time-series-analysis
License
MIT
Install
pip install exoplanet==0.6.0

Documentation



Tests Docs Coverage

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, using PyMC. 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.

Installation

The quickest way to get started is to use pip:

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 for more options.

Usage

Check out the tutorials and API docs on the docs page for example usage and much more info. You can also find more in-depth examples on the exoplanet case studies page.

Contributing

exoplanet is an open-source project, and we would love it if you wanted to contribute. Check out the developer documentation for more info about getting started.