SocialAtoZ

MLflow

Verified

Open source platform for managing the machine learning and LLM lifecycle

  • Deployment Cloud Based, On Premises, Hybrid
  • Starting price Free
  • Free trial Not offered
  • Best for Freelancers, Startups, SMEs

What is MLflow?

MLflow is a fully open source platform, licensed under Apache 2.0, for managing the machine learning and AI application lifecycle. It provides experiment tracking, a model registry, and deployment tools for traditional ML, plus observability and tracing, systematic evaluation with over 50 built-in metrics, prompt management, and an AI Gateway for LLM and agent applications. It supports Python, TypeScript/JavaScript, Java, and R.

Originally created at Databricks and now backed by the Linux Foundation, MLflow is forever free with no paid tiers of its own; it can run locally, on-premises, or on any cloud. Databricks and other vendors separately offer managed hosting built on MLflow, but that is a distinct paid product outside MLflow's own scope. MLflow reports over 30 million downloads per month.

Key Features of MLflow

MLflow lists 8 documented features, including Experiment tracking for parameters, metrics, and artifacts, Central model registry with versioning and lineage and LLM and agent observability built on OpenTelemetry. The list below covers what the product does rather than how it is marketed.

  • Experiment tracking for parameters, metrics, and artifacts
  • Central model registry with versioning and lineage
  • LLM and agent observability built on OpenTelemetry
  • Systematic evaluation with 50+ built-in metrics and LLM judges
  • Prompt versioning and automatic optimization
  • AI Gateway for managing model access and costs
  • Deployment tools for serving models in production
  • Integrates with 100+ frameworks including PyTorch, LangChain, and OpenAI

MLflow Pricing

MLflow lists 1 plan without published figures. Pricing is quoted on request.

Open Source

Free

Unlimited, self-hosted

100% open source under Apache 2.0 license, forever free with no paid MLflow-branded tier

MLflow Specifications

MLflow is available on web app. It offers an API and has a free plan.

Software Tagline :
Open source platform for managing the machine learning and LLM lifecycle
Deployment :
  • cloud based
  • on premises
  • hybrid
Subscription Plan :
monthly
Desktop Platforms :
  • web app
Mobile Platforms :
Language Support :
english
Target Audience :
  • freelancers
  • startups
  • smes
  • enterprises
Available Support :
Integrations :
PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI, scikit-learn, Databricks
Product Url :
API Available :
Yes
Free Trial Available :
No
Run On Mobile Browser :
Yes
Free Plan Available :
Yes
Customization Available :
Yes

MLflow Videos

MLflow Screenshots

Alternatives

Other AI Development Platform products listed on SocialAtoZ, each with its own pricing and feature detail to compare against MLflow.

Overall MLflow Reviews

No user reviews have been submitted for MLflow yet. If you have used it, you can be the first to leave one.

No reviews yet

Used MLflow? Share your experience and help other buyers decide.

MLflow FAQs

Yes, MLflow is 100% open source under the Apache 2.0 license with no license fees, though you are responsible for hosting it yourself.

No, MLflow runs standalone on your own infrastructure. Databricks separately offers a managed, hosted version built on MLflow as its own paid product.

MLflow tracks experiment parameters, metrics, and artifacts for traditional ML, and captures traces, evaluations, and prompts for LLM and agent applications.

MLflow provides APIs for Python, TypeScript/JavaScript, Java, and R, and integrates with over 100 AI and ML frameworks.

MLflow was originally created at Databricks and is now backed by the Linux Foundation as part of its open source AI ecosystem.