emcee
emcee provides a Python toolkit for affine-invariant Markov chain Monte Carlo sampling.
About emcee
emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman and Weare (2010). Documentation is available at emcee.readthedocs.io. The code is open source under the MIT License and has been used in several published projects in the Astrophysics literature.
Pricing is not clearly stated.
emcee at a glance
- Website
- github.com/dfm/emcee
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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emcee FAQ
How should emcee be cited?
Cite Foreman-Mackey, Hogg, Lang and Goodman (2012) if you find the code useful in research.
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