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Langfuse vs MLflow

Langfuse or MLflow? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In inglese

In short

  • Both: Command line, Self-hosted, API, Official SDKs, Traces and evaluates
  • Only Langfuse states: Choice of models
  • Only MLflow states: Builds agents and workflows

Langfuse

Langfuse traces, evaluates, and monitors AI agents and LLM applications, with prompt management, experiments, and cost analytics.

Plans

Hobby

Free

  • 50k units / month included
  • 30 days data access
  • 2 users
  • Community support via GitHub
  • All platform features (with limits)

Core

  • $29 / month
  • $8/100k units
  • 100k units / month included
  • 90 days data access
  • Unlimited users
  • In-app support
  • Everything in Hobby

Pro

  • $199 / month
  • $8/100k units
  • 100k units / month included
  • 3 years data access
  • Data retention management
  • Unlimited annotation queues
  • High rate limits
  • Prioritized in-app support

Enterprise

  • $2499 / month
  • $8/100k units
  • 100k units / month included
  • Audit Logs
  • SCIM API
  • Custom rate limits
  • Uptime SLA
  • Named lead support engineer

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Command line — “Langfuse CLI Full API access from the terminal for agent workflows, scripts, and CI/CD.” source
  • Choice of models — “Test prompts on real production inputs and compare models side-by-side.” source
  • Self-hosted — “Self-host at scale” source
  • API — “REST APIs for everything” source
  • Official SDKs — “Best-in-class SDKs: Native SDKs for Python and JavaScript” source
  • Traces and evaluates — “Trace, evaluate, and improve AI agents with one open platform.” source

Security

  • SOC 2 Type II — “The production service is based on the same open-source Langfuse codebase, is covered by SOC 2 Type II and ISO 27001 audits, and undergoes annual third-party penetration tests.” source
  • SOC 2 — “We take active steps to demonstrate our commitment to data security and privacy such as annual SOC2 Type 2 and ISO27001 audits as well as External Penetration Tests.” source
  • ISO 27001 — “The production service is based on the same open-source Langfuse codebase, is covered by SOC 2 Type II and ISO 27001 audits, and undergoes annual third-party penetration tests.” source
  • GDPR — “Langfuse is GDPR compliant, and offers data retention, data masking and data deletion capabilities to manage the processing of personal data .” source
  • HIPAA — “We offer a DPA , provide a HIPAA-ready region , and adhere to our Privacy Policy .” source
  • Data kept in the EU — “Langfuse Cloud – fully-managed SaaS (multi-tenant) with US, EU, Japan, and HIPAA data regions” source

Latest updates

About Langfuse

MLflow

MLflow is an open-source platform for tracking, evaluating, deploying, and monitoring machine learning models, LLM applications, and agents.

Plans

Not read from the maker’s page yet.

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Command line — “The easiest way to start MLflow server is to run the mlflow CLI command in your terminal.” source
  • Self-hosted — “Thousands of users and organizations run their own MLflow instances to meet their specific needs.” source
  • API — “This page hosts the API documentation for MLflow.” source
  • Official SDKs — “Python API” source
  • Builds agents and workflows — “Hands-on guides and code examples for building Agents and LLM applications with MLflow.” source
  • Traces and evaluates — “Capture complete traces of your LLM applications and agents to get deep insights into their behavior.” source

Latest updates

About MLflow