# MLflow — Open Source AI Engineering Platform

> MLflow is the largest open-source AI engineering platform for tracing, evaluation, prompt management, and model deployment. 25K+ GitHub stars. 60M+ monthly downloads. Apache 2.0.

## Install

Save in your project root:

## Quick Use

```bash
# Install and start server
pip install mlflow
mlflow server

# Or with uvx (no install)
uvx mlflow server

# Track an experiment
python -c "
import mlflow
mlflow.set_tracking_uri('http://localhost:5000')
with mlflow.start_run():
    mlflow.log_param('model', 'gpt-4o')
    mlflow.log_metric('accuracy', 0.95)
    mlflow.log_metric('latency_ms', 120)
    print('Logged to MLflow!')
"
# View at http://localhost:5000
```

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## Intro

MLflow is the largest open-source platform for AI engineering, enabling teams to debug, evaluate, monitor, and optimize production AI applications for agents, LLMs, and ML models. With 25,000+ GitHub stars, 60+ million monthly downloads, and Apache 2.0 license, MLflow provides observability and tracing (OpenTelemetry-based), 50+ built-in evaluation metrics, prompt management with version control, an AI Gateway for unified multi-provider API access with rate limiting and cost control, experiment tracking, model registry, and deployment tools. Supports 60+ frameworks including LangChain, OpenAI, and Anthropic.

**Best for**: ML/AI teams needing end-to-end experiment tracking, model management, and production monitoring
**Works with**: Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf
**Integrations**: 60+ frameworks (LangChain, OpenAI, Anthropic, PyTorch, etc.)

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## Key Features

- **Observability**: OpenTelemetry-based tracing for LLM applications
- **50+ evaluation metrics**: Built-in LLM judges for quality assessment
- **Prompt management**: Version, test, deploy prompts with lineage
- **AI Gateway**: Unified API across providers with rate limiting and cost control
- **Model registry**: Version, stage, and deploy models
- **60+ integrations**: LangChain, OpenAI, Anthropic, PyTorch, and more
- **Multi-language**: Python, TypeScript, Java, OpenTelemetry

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### FAQ

**Q: What is MLflow?**
A: MLflow is the largest open-source AI engineering platform with 25K+ stars. Tracing, 50+ eval metrics, prompt management, AI Gateway, model registry. 60M+ monthly downloads. Apache 2.0.

**Q: How do I install MLflow?**
A: `pip install mlflow` then `mlflow server`. Or `uvx mlflow server` without installing. Access UI at localhost:5000.

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## Source & Thanks

> Created by [Databricks](https://github.com/mlflow). Licensed under Apache 2.0.
> [mlflow/mlflow](https://github.com/mlflow/mlflow) — 25,000+ GitHub stars

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Source: https://tokrepo.com/en/workflows/486347c7-ead8-45ce-9ab8-6b60b4de1a74
Author: AI Open Source