Factual package intelligence from PyPI

vectory 0.1.7 package intelligence

Streamline the benchmark and experimentation process of your models that rely on generating embeddings

pip install vectory

Current version
0.1.7
Python requirement
>=3.7.1,<3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
66.4 KiB
Release history
8 releases with files
Median release cadence
6 days

vectory dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. elasticsearch ==7.16.3
  2. tqdm >=4.61.1,<5.0.0
  3. typer >=0.4.0,<0.5.0
  4. elasticsearch-dsl >=7.0.0,<8.0.0
  5. peewee >=3.14.10,<4.0.0
  6. pandas >=1.3.5,<2.0.0
  7. numpy >=1.14.5
  8. pynndescent >=0.5.6,<0.6.0
  9. matplotlib >=3.3
  10. bokeh <=2.2.3
  11. streamlit >=1.8.1,<1.12.0
  12. Jinja2 ==3.0.1
  13. streamlit-bokeh-events >=0.1.2,<0.2.0
  14. umap-learn >=0.5.3,<0.6.0
  15. plotly >=5.9.0,<6.0.0
  16. Pillow >=9.2.0,<10.0.0
  17. coolname >=1.1.0,<2.0.0
  18. tabulate >=0.8.10,<0.9.0
  19. psutil >=5.9.1,<6.0.0
  20. docker-compose >=1.29.2,<2.0.0

Compatibility and release files

vectory publishes 1 wheel and 1 source archive for version 0.1.7. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.7, 3.8, 3.9.

Release activity and sources

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