Added Oct 28, 2026
MLflow
FreeOpen-source platform for ML experiments, models and GenAI tracing
What is MLflow?
MLflow is an open-source platform for managing the machine learning lifecycle, from experiment tracking and model registry to tracing and evaluating generative AI apps. It was created by Databricks and is one of the most widely deployed MLOps tools.
MLflow Tracing captures LLM and agent calls with OpenTelemetry compatibility, and its evaluation tools score outputs with built-in and custom judges. The model registry handles versions, stages and deployment.
It is free to run anywhere, and managed versions are offered by Databricks and major clouds. Many ML frameworks, including PyTorch and scikit-learn, log to MLflow out of the box.
Features
- Experiment tracking
- Model registry
- GenAI tracing
- LLM evaluation
- Framework autologging
Tags
Releases
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MLflow was added to the directory.
Organization
Databricks
🇺🇸 United States
Listed by kitio.ai · unverified owner
Pricing
- Pricing model
- Free
- Paid options from
- 100% free
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Pros and cons
Pros
- Free and widely adopted
- Covers classic ML and GenAI
- Managed options on many clouds
Cons
- Self-hosting needs setup
- UI less polished than SaaS tools
- GenAI features still maturing
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Q&A
What is MLflow?
MLflow is an open-source platform for managing the machine learning lifecycle, from experiment tracking and model registry to tracing and evaluating generative AI apps. It was created by Databricks and is one of the most widely deployed MLOps tools.
How much does MLflow cost?
MLflow is 100% free.
Is there a free version of MLflow?
Yes. MLflow is completely free to use.
What are the main features of MLflow?
Experiment tracking, Model registry, GenAI tracing, LLM evaluation, Framework autologging.
Who makes MLflow?
MLflow is made by Databricks.
What are the best alternatives to MLflow?
Popular alternatives include Weights & Biases, Metaflow, BentoML.