---
id: mlflow-skinny
version: "3.15.1"
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)
license_treatment: permissive
maintenance: active
---

# mlflow-skinny — MLflow is an open source platform for the complete machine learning lifecycle

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install mlflow-skinny
uv add mlflow-skinny
poetry add mlflow-skinny

## Description

<!--  Autogenerated by dev/pyproject.py. Do not edit manually.  -->

📣 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:

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

---

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<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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