Factual package intelligence from PyPI

dbfs-spark-cache 0.5.1 package intelligence

A utility for caching Spark DataFrames in Databricks File System

pip install dbfs-spark-cache

Current version
0.5.1
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
65.7 KiB
Release history
4 releases with files
Median release cadence
8 days

dbfs-spark-cache dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. databricks-sdk >=0.20.0
  2. pandas >=2.2.3
  3. pyarrow >=19.0.1
  4. pydantic-settings >=2.7.0
  5. pydantic >=2.10.4
  6. tqdm >=4.67.1
  7. typing-extensions ==4.12.2

Compatibility and release files

dbfs-spark-cache publishes 1 wheel and 1 source archive for version 0.5.1. 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 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .