In the Crest catalog
dfm/emcee
The Python ensemble sampling toolkit for affine-invariant MCMC
- Stars
- 1.6K
- Forks
- 440
- Language
- Python
- Last push
- 27d ago
- Last release
- 3y ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
PyPI · v3.1.6 · MIT
The Python ensemble sampling toolkit for MCMC
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install emceePyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
The Python ensemble sampling toolkit for affine-invariant MCMC
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
No published news event mentions this package or its repository yet.