---
id: mlflow-tracing
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-tracing — MLflow Tracing SDK is an open-source, lightweight Python package that only includes the minimum set of dependencies and functionality to instrument your code/models/agents with MLflow Tracing.

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

## Install

pip install mlflow-tracing
uv add mlflow-tracing
poetry add mlflow-tracing

## Description

# MLflow Tracing: An Open-Source SDK for Observability and Monitoring GenAI Applications🔍

[![Latest Docs](https://img.shields.io/badge/docs-latest-success.svg?style=for-the-badge)](https://mlflow.org/docs/latest/index.html)
[![Apache 2 License](https://img.shields.io/badge/license-Apache%202-brightgreen.svg?style=for-the-badge&logo=apache)](https://github.com/mlflow/mlflow/blob/master/LICENSE.txt)
[![Slack](https://img.shields.io/badge/slack-@mlflow--users-CF0E5B.svg?logo=slack&logoColor=white&labelColor=3F0E40&style=for-the-badge)](https://mlflow.org/community/#slack)
[![Twitter](https://img.shields.io/twitter/follow/MLflow?style=for-the-badge&labelColor=00ACEE&logo=twitter&logoColor=white)](https://twitter.com/MLflow)

MLflow Tracing (`mlflow-tracing`) is an open-source, lightweight Python package that only includes the minimum set of dependencies and functionality
to instrument your code/models/agents with [MLflow Tracing Feature](https://mlflow.org/docs/latest/tracing). It is designed to be a perfect fit for production environments where you want:

- **⚡️ Faster Deployment**: The package size and dependencies are significantly smaller than the full MLflow package, allowing...

## AI interpretation — verify before relying

MLflow Tracing is a lightweight Python SDK for instrumenting AI applications with observability and tracing, supporting automatic tracing for popular AI libraries with minimal dependencies.

Verdict: A production-ready, actively maintained tracing SDK designed for GenAI observability with minimal overhead. Apache 2.0 licensing, low dependency footprint, and zero known vulnerabilities make it suitable for deployment in containerized and serverless environments. Requires an external MLflow backend to function.

[View on SkillFed](https://skillfed.io/packages/mlflow-tracing) · [View on PyPI](https://pypi.org/project/mlflow-tracing/)