mlflow-skinny

MLflow is an open source platform for the complete machine learning lifecycle

mlflow-skinny Permissive license Copyright 2018 Databricks, Inc. All rights reserved. Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1.… (full text in the JSON record) Active ★ 27,502 v3.15.1 released 2026-08-03

Install

mlflow-skinny on PyPI

pip

pip install mlflow-skinny

uv

uv add mlflow-skinny

poetry

poetry add mlflow-skinny

Package facts

License	Copyright 2018 Databricks, Inc. All rights reserved. Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1.… (full text in the JSON record) (permissive)
Python support	supports the current Python release (>=3.10)
Install friction	low — pure-Python wheel
Runtime dependencies	20 — cachetools, click, cloudpickle, databricks-sdk, fastapi, gitpython, importlib_metadata, opentelemetry-api, opentelemetry-proto, opentelemetry-sdk, packaging, protobuf, pydantic, python-dotenv, pyyaml, requests, sqlparse, starlette, typing-extensions, uvicorn
Maintenance	actively maintained — 10 days since the last release
Last repo commit	2026-08-13
First released	2021-02-20
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: mlflow_skinny-3.15.1-py3-none-any.whl

Keywords: mlflow, ai, databricks

Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: End Users/DesktopIntended Audience :: Information TechnologyIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3.10Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Libraries :: Python Modules

About mlflow-skinny

from the package's own PyPI description — quoted content, verbatim

📣 This is the mlflow-skinny package, a lightweight MLflow package without SQL storage, server, UI, or data science dependencies. Additional dependencies can be installed to leverage the full feature set of MLflow. For example:

To use the mlflow.sklearn component of MLflow Models, install scikit-learn, numpy and pandas.
To use SQL-based metadata storage, install sqlalchemy, alembic, and sqlparse.
To use serving-based features, install flask and pandas.

Note: When using mlflow-skinny, set the tracking URI to your remote MLflow server:

export MLFLOW_TRACKING_URI="http://your-mlflow-server:5000"

<h1 align="center" style="border-bottom: none"> <a href="https://mlflow.org/"> <img alt="MLflow logo" src="https://raw.githubusercontent.com/mlflow/mlflow/refs/heads/master/assets/logo.svg" width="200" /> </a> </h1> <h2 align="center" style="border-bottom: none">The Open Source AI Engineering Platform for Agents, LLMs & Models</h2>

MLflow is the largest open source AI engineering platform for agents, LLMs, and ML models. MLflow enables...

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