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MLflow

Open source platform for debugging, evaluating, monitoring and deploying LLM apps, AI agents and ML models, for ML and AI engineering teams.

Price fromnot listed
Freeyes, free plan
Platformsweb, api
MLflow - zrzut strony

What is MLflow?

MLflow is an open source AI engineering platform covering both LLM/agent applications and the classic machine learning lifecycle. It is released under the Apache 2.0 license and backed by the Linux Foundation. For LLM and agent work, it captures traces of application behavior built on OpenTelemetry and supports any LLM provider and agent framework. Its evaluation tools include 50+ built-in metrics and LLM judges, plus custom metrics, and it can detect issues in traces with AI-powered analysis. It also offers prompt versioning with lineage tracking, prompt optimization, and an OpenAI-compatible AI Gateway for routing, rate limits, fallbacks and cost control.

For model development, MLflow tracks experiments, supports hyperparameter tuning and model evaluation, and provides a Model Registry for deployment. An Agent Server lets you deploy agents as a FastAPI-based endpoint with request validation, streaming and built-in tracing. The page lists Python, TypeScript/JavaScript, Java and R support and integrations with frameworks such as LangChain, OpenAI and PyTorch.

Key features

  • Tracing of LLM applications and agents built on OpenTelemetry
  • Evaluation with 50+ built-in metrics and LLM judges
  • Prompt registry with versioning and automatic prompt optimization
  • AI Gateway with unified OpenAI-compatible API, rate limits and fallbacks
  • Agent Server for deploying agents as FastAPI endpoints with streaming
  • Experiment tracking, hyperparameter tuning and Model Registry for ML models

Who is it for

  • ML engineers
  • AI and LLM application developers
  • MLOps and LLMOps teams
  • Researchers

Pros and cons

Pros
  • Open source under Apache 2.0 with no vendor lock-in
  • Works with many frameworks, languages and LLM providers
Cons
  • Self-hosting and infrastructure setup are left to the user, as the page focuses on the open source platform

MLflow pricing

The vendor does not publish prices in a readable form (often pricing is shown only after signing in).

Is MLflow free?

Yes, there is a free plan. Fully free open source software under Apache 2.0 license, as stated on the page.

MLflow alternatives

ToolPrice fromFree planCategory
Airtable logoAirtable20 USD/motrialProductivity & notes
Notion logoNotion9.50 EUR/motrialProductivity & notes
InterLock logoInterLocknot listed?Productivity & notes
monday.com logomonday.com9 EUR/moyesProductivity & notes
Asana logoAsana10.99 USD/moyesProductivity & notes
ClickUp logoClickUp7 USD/moyesProductivity & notes

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FAQ

What is MLflow used for?

Open source platform for debugging, evaluating, monitoring and deploying LLM apps, AI agents and ML models, for ML and AI engineering teams.

Is MLflow free?

Yes, there is a free plan. Fully free open source software under Apache 2.0 license, as stated on the page.

How much does MLflow cost?

The vendor does not publish prices publicly or requires sign-in.

What are the best MLflow alternatives?

Closest alternatives: Airtable, Notion, InterLock, monday.com, Asana.

Data checked October 12, 2026 on the vendor website (mlflow.org).