mc3: Multi-core Markov-chain Monte Carlo

A Python implementation of the Markov-chain Monte Carlo algorithm.

Install as:

pip install mc3

or:

conda install -c conda-forge mc3

Docs at:

https://mc3.readthedocs.io/en/latest/

Cite as:

@ARTICLE{CubillosEtal2017apjRednoise,
       author = {{Cubillos}, Patricio and {Harrington}, Joseph and {Loredo}, Thomas J. and {Lust}, Nate B. and {Blecic}, Jasmina and {Stemm}, Madison},
        title = "{On Correlated-noise Analyses Applied to Exoplanet Light Curves}",
      journal = {\aj},
     keywords = {methods: statistical, planets and satellites: fundamental parameters, techniques: photometric, Astrophysics - Earth and Planetary Astrophysics},
         year = 2017,
        month = jan,
       volume = {153},
       number = {1},
          eid = {3},
        pages = {3},
          doi = {10.3847/1538-3881/153/1/3},
archivePrefix = {arXiv},
       eprint = {1610.01336},
 primaryClass = {astro-ph.EP},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2017AJ....153....3C},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Metadata

Release files for mc3 3.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mc3 3.3.0
File	Size	Uploaded
mc3-3.3.0.tar.gz	115.9 kB	Oct 11, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for mc3 3.3.0
File	Interpreter	ABI	Platform	Reset
mc3-3.3.0-py3-none-any.whl 65.5 kB Oct 11, 2026	Python 3	none	any	Details

Total release size: 181.4 kB

Release files / mc3-3.3.0.tar.gz

Download URL	mc3-3.3.0.tar.gz
Size	115.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`2684354603239a8ca84808909185a2ed45a6a40d8893759adb1b177153448b0e`
BLAKE2b-256 checksum How to use checksums	`d3b71f875f9931b5b63c7bb01f7bbd3520df0d63cd30bdd4ecb4338f10ca9b54`
Upload date	Oct 11, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.0`

Release files / mc3-3.3.0-py3-none-any.whl

Download URL	mc3-3.3.0-py3-none-any.whl
Size	65.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`c0c3c8e97ff95387fbde427225d77a2870aa748f47cadf9d8325bdf6c0bb8e21`
BLAKE2b-256 checksum How to use checksums	`503a9506c76d4fb62298e799729690ced93486516493299d72015c7c7661ad36`
Upload date	Oct 11, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.0`