Factual package intelligence from PyPI

google-cloud-aiplatform 1.162.0 package intelligence

Vertex AI API client library

pip install google-cloud-aiplatform

Current version
1.162.0
Python requirement
>=3.10
License
Apache 2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
19.7 MiB
Release history
214 releases with files
Median release cadence
7 days

google-cloud-aiplatform dependencies

PyPI declares 261 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. google-api-core !=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<3.0.0,>=1.34.1
  2. google-auth <3.0.0,>=2.47.0
  3. certifi >=2023.7.22
  4. proto-plus <2.0.0,>=1.22.3
  5. protobuf !=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<7.0.0,>=3.20.2
  6. packaging >=14.3
  7. google-cloud-storage <4.0.0,>=1.32.0 when python_version < "3.13"
  8. google-cloud-storage <4.0.0,>=3.10.0 when python_version >= "3.13"
  9. google-cloud-bigquery !=3.20.0,<4.0.0,>=1.15.0
  10. google-cloud-resource-manager <3.0.0,>=1.3.3
  11. google-genai <3.0.0,>=1.37.0 when python_version < "3.10"
  12. google-genai <3.0.0,>=1.66.0 when python_version >= "3.10"

The compact report shows 12 of 261 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

google-cloud-aiplatform publishes 1 wheel and 1 source archive for version 1.162.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.

Security snapshot for google-cloud-aiplatform 1.162.0

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 214 releases with files. The first dated release is ; 62 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

2 historical releases are fully yanked in PyPI metadata.