Factual package intelligence from PyPI

spark-rapids-user-tools 26.6.0 package intelligence

A simple wrapper process around cloud service providers to run tools for the RAPIDS Accelerator for Apache Spark.

pip install spark-rapids-user-tools

Current version
26.6.0
Python requirement
<3.13,>=3.10
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
5.0 MiB
Release history
96 releases with files
Median release cadence
10 days

spark-rapids-user-tools dependencies

PyPI declares 52 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=2.2.6
  2. chevron ==0.14.0
  3. fastprogress ==1.0.3
  4. fastcore ==1.7.28
  5. fire ==0.7.1
  6. pandas ==2.3.0
  7. pyYAML >=6.0.2
  8. pyaml-env ==1.2.2
  9. tabulate ==0.9.0
  10. importlib-resources ==6.5.2
  11. requests ==2.33.0
  12. packaging ==25.0
  13. certifi ==2025.6.15
  14. urllib3 ==2.7.0
  15. pygments ==2.20.0
  16. pydantic ==2.11.7
  17. pylint-pydantic ==0.3.5
  18. pyarrow ==20.0.0

The compact report shows 18 of 52 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

spark-rapids-user-tools publishes 1 wheel and 0 source archives for version 26.6.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for spark-rapids-user-tools 26.6.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

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 96 releases with files. The first dated release is ; 43 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.