Factual package intelligence from PyPI

databricks-session 0.3.0 package intelligence

A simple util to get a spark and mlflow session objects from an .env file

pip install databricks-session

Current version
0.3.0
Python requirement
>=3.9,<4.0
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
8.4 KiB
Release history
10 releases with files
Median release cadence
0 days

databricks-session dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. databricks-connect >=13.1.0,<14.0.0
  2. databricks-sql-connector >=2.7.0,<3.0.0
  3. mlflow >=2.4.1,<3.0.0
  4. pydantic >=1.10.9,<2.0.0
  5. python-dotenv >=1.0.0,<2.0.0
  6. typing-extensions >=4.7.0,<5.0.0

Compatibility and release files

databricks-session publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 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.