Factual package intelligence from PyPI

mmm-framework 1.2.0 package intelligence

Bayesian Marketing Mix Modeling framework with causal calibration, pressure testing, and an adaptive measurement loop

pip install mmm-framework

Current version
1.2.0
Python requirement
>=3.12
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
11.3 MiB
Release history
5 releases with files
Median release cadence
6 days

mmm-framework dependencies

PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. cloudpickle >=3.1.2
  2. cryptography >=42
  3. h5netcdf >=1.6.4
  4. h5py >=3.12
  5. holidays >=0.100
  6. loguru >=0.7.3
  7. numba >=0.63.1
  8. numpy >=2.3.5
  9. numpyro >=0.19.0
  10. nutpie >=0.16.10
  11. openpyxl >=3.1.0
  12. pandas >=2.3.3

The compact report shows 12 of 33 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mmm-framework publishes 1 wheel and 1 source archive for version 1.2.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for mmm-framework 1.2.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .