Fast and scalable MCMC for all your exoplanet needs
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for exoplanet-0.6.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 28afceba1db98a6211203c93dd7d7118759b536300cbbd2770185e4cf9ab287f |
|
MD5 | b5dbf9ed7a8add693c6c262305c6b30f |
|
BLAKE2b-256 | 9477cbc0ad3ad284060f47dd6e4655321e2b7d59799ad6849fb46b3dac5cf175 |