MLflow
Open-source platform for tracing, evaluating and managing agents, LLM apps and ML models.
Updated
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Use cases
About MLflow
MLflow is listed in our evals & observability category and is aimed at builders. Open-source platform for tracing, evaluating and managing agents, LLM apps and ML models. Pricing, as the maker states it: Open source + cloud. Maturity: Mature. We last checked the official link on 2026-10-16.
What is MLflow?
MLflow is an open-source AI engineering platform for agents, LLMs and ML models.
It helps teams debug, evaluate, monitor and optimize production AI applications.
Sources: the official README and our directory listing, checked 2026-10-18. Official site: mlflow.org.
Who is MLflow for?
ML and AI engineering teams.
MLflow at a glance
- Open source: Yes (Apache License 2.0)
- GitHub: mlflow/mlflow · 28,477 stars (as of Oct 21, 2026)
Key features
- Tracing
- Evaluation
- Monitoring
- Model management
MLflow FAQ
What is MLflow?
MLflow is an open-source AI engineering platform for agents, LLMs and ML models.
Who is MLflow for?
ML and AI engineering teams.
Is MLflow free?
MLflow's pricing, as the maker states it: Open source + cloud. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Is MLflow open source?
Yes. MLflow is released under the Apache License 2.0, according to its GitHub repository.
What are alternatives to MLflow?
Similar tools include Arize Phoenix, Langfuse, LangSmith, Future AGI, Opik and W&B Weave.
MLflow ratings and reviews
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MLflow alternatives
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Future AGI
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Opik
Comet's open-source platform for tracing, evaluating and monitoring LLM apps, RAG systems and agent workflows, self-hosted or in the cloud.
W&B Weave
Weights & Biases toolkit for tracing and evaluating agents.
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