Langfuse vs MLflow

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionLangfuseMLflow
Pricingfreemium · from Hobby $0/mofree · from Open Source $0/mo
Best forAI engineering teams running multi-turn chat or coding agents in production, Enterprises needing self-hosting or a US/EU/JP data region for SOC 2, ISO 27001, or HIPAAAI engineering teams that want tracing, evals, and prompt versioning in one self-hosted platform, Organizations that need vendor-neutral LLMOps and won't hand traces to a managed SaaS
Standout featuresHierarchical tracing of LLM calls, tool invocations, and retrieval steps · Session tracking for multi-turn conversations and agentic workflows · Per-user token and cost tracking for multi-tenant billingOpenTelemetry-based tracing for LLM apps and agents · AI-powered issue detection across correctness, latency, execution, adherence, relevance, safety · 50+ built-in evaluation metrics and LLM judges
Viability score89/10087/100
APIYesYes

Langfuse is the stronger pick for ai engineering teams running multi-turn chat or coding agents in production; MLflow fits better for ai engineering teams that want tracing, evals, and prompt versioning in one self-hosted platform.

Built from live tool data, last verified 2026-09-29.

Langfuse
Langfuse

Open-source LLM observability, prompt management, and evaluation for teams running AI agents in production.

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MLflow
MLflow

MLflow is the open source AI engineering platform for agent and LLM observability, evaluation, and prompt management.

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Pricing
Freemium
Free
Plans
$0/mo
$29/mo
$199/mo
$300/mo
$2499/mo
$0/mo
Popularity
6.5k views
5.9k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPI
WebAPICLI
Categories
📡 LLM Observability & Evals
📡 LLM Observability & Evals🚦 LLM Gateways & Model Routers🕸️ Agent Frameworks & Orchestration
Features
Hierarchical tracing of LLM calls, tool invocations, and retrieval steps
Session tracking for multi-turn conversations and agentic workflows
Per-user token and cost tracking for multi-tenant billing
Agent graphs visualizing complex agentic workflows
Responsive Trace Timeline with map-style zoom and colour-coded observation types
LLM-as-a-judge evaluators, including multi-modal and multi-message prompt support
Code/heuristic evaluators and custom evaluation scores
Backfill evaluator scores onto historical observations when attaching an evaluator to a rule
Human annotation queues for building golden datasets
Evaluator versioning, restore-as-draft, and template starters for chatbots and coding agents
Prompt versioning, labels, one-click deployments, and rollbacks
Prompt composability with server- and client-side prompt caching
Playground for testing prompts on real production inputs and comparing models
Datasets and Experiments via SDK or UI with side-by-side result comparison
Langfuse Assistant runs code over thousands of observations in a background sandbox
OpenTelemetry-based tracing for LLM apps and agents
AI-powered issue detection across correctness, latency, execution, adherence, relevance, safety
50+ built-in evaluation metrics and LLM judges
Custom evaluation metrics and LLM judges via flexible APIs
Immutable evaluation dataset versions for reproducible comparisons
Prompt Registry with versioning, lineage, and automatic prompt optimization
AI Gateway with unified OpenAI-compatible API, rate limiting, fallbacks, cost control
Agent Server deploys agents as FastAPI endpoints with streaming and request validation
Review Queues for human-in-the-loop trace review with assignments and status
Role-Based Access Control (RBAC) with Admin UI
MCP Registry for managing Model Context Protocol servers
Multimodal tracing for images, audio, and files
In-browser LLM Playground for prompt and model testing
Experiment tracking, hyperparameter tuning, Model Registry and deployment for ML models
Durable tracing for Claude Code
Integrations
LangChain
Vercel AI SDK
LiteLLM
Pydantic AI
Google ADK
CrewAI
LiveKit
OpenAI
Anthropic
Amazon Bedrock
Azure OpenAI
Mistral AI
Google Gemini
xAI
PostHog
PyTorch
TensorFlow
Scikit-learn
Hugging Face
FastAPI
OpenTelemetry
Databricks

Frequently Asked Questions

Which is better, Langfuse or MLflow?

The best choice between Langfuse and MLflow depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Langfuse and MLflow?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Langfuse or MLflow?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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Explore each tool further

Langfuse
View Langfuse reviewLangfuse alternatives
MLflow
View MLflow reviewMLflow alternatives

Browse these categories

Best AI LLM Observability & Evals toolsBest AI LLM Gateways & Model Routers toolsBest AI Agent Frameworks & Orchestration tools
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Last reviewed: May 12, 2026