Factual package intelligence from PyPI

mlops-in-a-box 0.0.1 package intelligence

MLOps Platform for Data Scientists and Engineers to build, deploy and manage machine learning applications and more.

pip install mlops-in-a-box

Current version
0.0.1
Python requirement
>=3.11
License
MIT License
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
4.1 MiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

mlops-in-a-box dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. fabric
  2. pyyaml
  3. oauth2client
  4. google-cloud-secret-manager
  5. streamlit
  6. pandas
  7. numpy
  8. psutil
  9. cryptography
  10. bcrypt
  11. passlib
  12. mlflow
  13. mlserver
  14. pycryptodome
  15. redis
  16. opentelemetry-api
  17. opentelemetry-sdk
  18. opentelemetry-exporter-otlp

The compact report shows 18 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mlops-in-a-box publishes 1 wheel and 0 source archives for version 0.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .