Factual package intelligence from PyPI

vellum-ai 1.14.7 package intelligence

PyPI does not currently provide a summary for vellum-ai.

pip install vellum-ai

Current version
1.14.7
Python requirement
<4.0,>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
2.4 MiB
Release history
444 releases with files
Median release cadence
1 days

vellum-ai dependencies

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

  1. Jinja2 <4.0.0,>=3.1.0
  2. click <9.0.0,>=8.1.7
  3. docker <8.0.0,>=7.1.0
  4. httpx >=0.21.2
  5. jsonschema >=4.0.0
  6. orderly-set <6.0.0,>=5.2.2
  7. publication ==0.0.3
  8. pydantic >=1.9.2
  9. pydantic-core >=2.18.2
  10. pydash <8.0.0,>=7.0.0
  11. python-dateutil <3.0.0,>=2.8.0
  12. python-dotenv <2.0.0,>=1.0.0
  13. pytz <2026.0,>=2022.0
  14. pyyaml <7.0.0,>=6.0.0
  15. requests <3.0.0,>=2.31.0
  16. tomli <3.0.0,>=2.0.0
  17. typing_extensions >=4.0.0

The compact report shows 18 of 19 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

vellum-ai publishes 1 wheel and 1 source archive for version 1.14.7. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 444 releases with files. The first dated release is ; 225 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .