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ML lifecycle management for Databricks — preprocessing, evaluation, drift monitoring, governance, and champion/challenger promotion, with a built-in notebook UI
pip install dash-mlops
PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.
dash-mlops publishes 1 wheel and 1 source archive for version 0.1.5. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .