Factual package intelligence from PyPI

vespaembed 0.0.7 package intelligence

vespaembed: no-code training for embedding models

pip install vespaembed

Current version
0.0.7
Python requirement
>=3.11
License
Apache 2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
353.6 KiB
Release history
7 releases with files
Median release cadence
9 days

vespaembed dependencies

PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. sentence-transformers >=5.5.1
  2. transformers >=4.57.6
  3. accelerate >=1.13.0
  4. torch >=2.10.0
  5. datasets >=4.3.0
  6. pandas >=3.0.3
  7. pydantic >=2.13.4
  8. rich >=15.0.0
  9. fastapi >=0.136.3
  10. uvicorn >=0.49.0
  11. python-multipart >=0.0.32
  12. websockets >=16.0
  13. pyyaml >=6.0.3
  14. peft >=0.19.1
  15. tensorboard >=2.20.0
  16. onnx >=1.21.0
  17. onnxruntime >=1.26.0
  18. optimum >=2.1.0

The compact report shows 18 of 24 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

vespaembed publishes 1 wheel and 1 source archive for version 0.0.7. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for vespaembed 0.0.7

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 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .