Factual package intelligence from PyPI

colabfold 1.6.2 package intelligence

Making protein folding accessible to all. Predict proteins structures both in google colab and on your machine

pip install colabfold

Current version
1.6.2
Python requirement
>=3.10
License
MIT, but separate licenses for the trained weights
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
161.1 KiB
Release history
8 releases with files
Median release cadence
59 days

colabfold dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. appdirs <2.0.0,>=1.4.4
  2. biopython <1.86
  3. importlib-metadata <9.0.0,>=8.6.1
  4. matplotlib <4.0.0,>=3.8.4
  5. numpy <3.0.0,>=2.0.2
  6. orjson <4.0.0,>=3.11.4

The compact report shows 12 of 17 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

colabfold publishes 1 wheel and 1 source archive for version 1.6.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.

Security snapshot for colabfold 1.6.2

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 8 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .