Factual package intelligence from PyPI

embedvisor 0.1.1 package intelligence

An all-in-one embeddings package in Python for data preprocessing: cleaning, visualization, clustering, etc. CLI support and an incoming LLM-based web app to recommend data preprocessing steps customized to your dataset and model requirements/goals.

pip install embedvisor

Current version
0.1.1
Python requirement
>=3.8
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
23.6 KiB
Release history
2 releases with files
Median release cadence
0 days

embedvisor dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21
  2. scikit-learn >=1.1
  3. matplotlib >=3.5
  4. umap-learn >=0.5
  5. click >=8.0
  6. seaborn >=0.12
  7. pandas >=1.3
  8. torch >=1.13
  9. faiss-cpu

Compatibility and release files

embedvisor 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. 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 .