MLflow
VerifiedOpen source platform for managing the machine learning and LLM lifecycle
See all screenshots - 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 one plan, at Free.
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.
- Deployment
- Cloud Based
- On Premises
- Hybrid
- Billing cycle
- Monthly
- Desktop
- Web App
- Languages
- English
- Built for
- Freelancers
- Startups
- SMEs
- Enterprises
- Integrations
- PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI, scikit-learn, Databricks
- Public API
- Yes
- Free trial
- No
- Free plan
- Yes
- Runs in browser
- Yes
- Customisable
- Yes
- Website
- mlflow.org
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