Factual package intelligence from PyPI

ml-research-trends 0.1.1 package intelligence

A Python toolkit for collecting academic papers from Semantic Scholar and analyzing/visualizing publication trends in machine learning research

pip install ml-research-trends

Current version
0.1.1
Python requirement
>=3.11
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
20.7 KiB
Release history
2 releases with files
Median release cadence
0 days

ml-research-trends dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. dotenv >=0.9.9
  2. feedparser >=6.0.12
  3. ipykernel >=7.2.0
  4. ollama >=0.6.1
  5. pandas >=3.0.1
  6. requests >=2.32.5
  7. seaborn >=0.13.2
  8. matplotlib >=3.7.0
  9. tqdm >=4.67.3
  10. sentence-transformers >=3.0.0
  11. torch >=2.2.0
  12. scikit-learn >=1.4.0
  13. umap-learn >=0.5.5
  14. numpy >=1.26.0
  15. plotly >=5.20.0

Compatibility and release files

ml-research-trends publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license, 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.