Factual package intelligence from PyPI

m2m-vector-search 2.3.0 package intelligence

M2M (Machine-to-Memory) - High-performance vector database with GPU acceleration and energy-based features

pip install m2m-vector-search

Current version
2.3.0
Python requirement
>=3.10
License
AGPL-3.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
3.4 MiB
Release history
9 releases with files
Median release cadence
1 days

m2m-vector-search dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.24.0
  2. scikit-learn >=1.3.0

The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

m2m-vector-search publishes 1 wheel and 1 source archive for version 2.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for m2m-vector-search 2.3.0

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 9 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .