pymc-cache

Safe, model-aware reuse of local PyMC sampling results. Independent of cloudposterior, pymc-monitor and Modal.

• Getting started: local sampling and preflight cache checks.
• Identity and safety: when reuse is safe, and when it is refused.
• Storage: memory, NetCDF, CLI, and migration.
• API reference: public functions and classes.

Supports Python 3.11+, PyMC 5.28–6 and ArviZ 0.x–1.x. This 0.1.0 release candidate is not yet published to PyPI; install from this repository or an immutable Git commit for now.