Factual package intelligence from PyPI

jaxsnn 0.3.0 package intelligence

jaxsnn is an event-based approach to machine-learning-inspired training and simulation of SNNs, including support for neuromorphic backends (BrainScaleS-2).

pip install jaxsnn

Current version
0.3.0
Python requirement
>=3.9
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
310.2 KiB
Release history
8 releases with files
Median release cadence
7 days

jaxsnn dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. jax >=0.4.13
  2. jaxlib >=0.4.13
  3. scipy
  4. optax >=0.1.4
  5. tree-math >0.1.0
  6. matplotlib
  7. networkx

Compatibility and release files

jaxsnn publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for jaxsnn 0.3.0

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.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 8 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 .