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AI toolsModels & APIsMLflow

Added Oct 28, 2026

MLflow

Free
🇺🇸 United StatesDatabricksModels & APIs views clicks to the websiteNo ratings
Use tool

Open-source platform for ML experiments, models and GenAI tracing

Experiment trackingModel registryGenAI tracingLLM evaluationFramework autologgingFree
OverviewReleasesPricingAlternativesPros & ConsPromptsReviewsQ&A
Open
mlflow.org
MLflowOpen-source platform for ML experiments, models and GenAI tracingVisit mlflow.org

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

Open SourceMLOpsExperiment TrackingTracing

Releases

+ Submit new release
  1. ListedOct 28, 2026

    MLflow was added to the directory.

Organization

Databricks

🇺🇸 United States

Listed by kitio.ai · unverified owner

Pricing

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100% free
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Top MLflow alternatives

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Weights & Biases

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MetaflowNew

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Open-source Python framework for ML and AI workflows

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BentoML

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Open-source model serving and a managed platform for AI inference

Freemium🇺🇸Made in United States
dstack

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Open-source control plane for provisioning and orchestrating GPUs

Freemium

Compare MLflow

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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

Prompts & results

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Reviews

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.

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