Factual package intelligence from PyPI

carl-studio 0.20.1 package intelligence

CARL (Coherence-Aware Reinforcement Learning) — information-theoretic reward signals for LLM training via token-level probability distributions

pip install carl-studio

Current version
0.20.1
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
5.2 MiB
Release history
6 releases with files
Median release cadence
0 days

carl-studio dependencies

PyPI declares 83 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. anyio >=4.0
  2. carl-core >=0.2.0
  3. httpx >=0.27
  4. numpy
  5. pydantic-settings >=2.0
  6. pydantic >=2.9
  7. pyyaml >=6.0
  8. rich >=14.0
  9. typer >=0.12

The compact report shows 12 of 83 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

carl-studio publishes 1 wheel and 1 source archive for version 0.20.1. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13.

Security snapshot for carl-studio 0.20.1

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 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .