M
mlflow
mlflow/mlflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
★27.4kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A open-source Data & Infrastructure project, built with Python, focusing on agentops and agents
Who made it?Maintained by mlflow team, 27.4K⭐ on GitHub, #64 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the mlflow team identified the need for better agentops solutions. mlflow was created to simplify agents workflows.
What can it do?Key use cases: ai-governance, apache-spark, evaluation
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/mlflow/mlflow | 官网 https://mlflow.org
🔗 github.com/mlflow/mlflow | 官网 https://mlflow.org
Topics
agentopsagentsaiai-governanceapache-sparkevaluationlangchainllm-evaluationllmopsmachine-learningmlmlflowmlopsmodel-managementobservabilityopen-sourceopenaiprompt-engineering