Factual package intelligence from PyPI

ml-pipelines-sdk 1.21.0 package intelligence

A dependency-light distribution of the core pipeline authoring functionality of TensorFlow Extended (TFX).

pip install ml-pipelines-sdk

Current version
1.21.0
Python requirement
<3.14,>=3.10
License
Apache Software License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
13.5 MiB
Release history
69 releases with files
Median release cadence
8 days

ml-pipelines-sdk dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. absl-py <2.0.0,>=0.9
  2. ml-metadata <1.22.0,>=1.21.0
  3. packaging >=22
  4. portpicker <2,>=1.3.1
  5. protobuf <7.0.0,>=6.0.0
  6. docker <8,>=7
  7. google-apitools <1,>=0.5
  8. google-api-python-client <2,>=1.8
  9. jinja2 <4,>=2.7.3
  10. typing-extensions <5

Compatibility and release files

ml-pipelines-sdk publishes 1 wheel and 1 source archive for version 1.21.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.

Security snapshot for ml-pipelines-sdk 1.21.0

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.

Release activity and sources

PyPI lists 69 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 .

1 historical release is fully yanked in PyPI metadata.