Factual package intelligence from PyPI

tritopic 2.3.0 package intelligence

TriTopic: Tri-Modal Graph Topic Modeling with Iterative Refinement — state-of-the-art topic modeling that outperforms BERTopic, LDA, and NMF across all standard benchmarks.

pip install tritopic

Current version
2.3.0
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
138.3 KiB
Release history
3 releases with files
Median release cadence
3 days

tritopic dependencies

PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21.0
  2. pandas >=1.3.0
  3. scipy >=1.7.0
  4. scikit-learn >=1.0.0
  5. sentence-transformers >=2.2.0
  6. leidenalg >=0.9.0
  7. igraph >=0.10.0
  8. umap-learn >=0.5.0
  9. hdbscan >=0.8.0
  10. plotly >=5.0.0
  11. tqdm >=4.60.0
  12. rank-bm25 >=0.2.0

The compact report shows 12 of 26 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

tritopic 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, 3.13, 3.9.

Release activity and sources

PyPI lists 3 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 .