Factual package intelligence from PyPI

symbolic-discovery 0.1.1 package intelligence

A benchmarking framework for symbolic regression research, implementing BACON.3F/BACON.7F alongside PySR with configurable, curated datasets and a unified experiment runner.

pip install symbolic-discovery

Current version
0.1.1
Python requirement
>=3.10
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
90.7 KiB
Release history
2 releases with files
Median release cadence
0 days

symbolic-discovery dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.23
  2. pandas >=1.5
  3. PyYAML >=6.0
  4. scipy >=1.9
  5. sympy >=1.10
  6. rich >=13.0

Compatibility and release files

symbolic-discovery publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for symbolic-discovery 0.1.1

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.

Metadata completeness

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

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.