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207 tools · 25 stacks

AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

Team size

Budget

Use case

Stage

Cluster

Stack Layers
What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
These tools competes with
MLflow
vs
Langfuse

Choose MLflow when…

  • •already using MLflow for ML experiments and want LLM tracking too
  • •running on Databricks and want native platform observability
  • •need unified tracking for both traditional ML and LLM workloads

Choose Langfuse when…

  • •You want open-source LLM observability
  • •Self-hosting your tracing stack is important
  • •You need cost tracking across models and users
Field
MLflow
Langfuse
Category
observability
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
Open Source: FreeDatabricks Managed: Included with Databricks
Cloud: $59/mo
Stars
⭐ 19,800
⭐ 7,000
Health
●75 — Active
●80 — Active
Trajectory
— not enough data
— not enough data
Synced
8 days ago
today

MLflow

MLflow is an open-source platform for managing the full ML lifecycle, now extended with native LLM tracking and tracing. It captures prompts, responses, latency, and costs in MLflow Tracing, integrates with LangChain and OpenAI, and provides a unified experiment UI.

Langfuse

Open-source platform for tracing, evaluations, and prompt management. Self-hostable alternative to LangSmith with clean UX.

MLflow Website ↗GitHub ↗
Langfuse Website ↗GitHub ↗

Only MLflow (1)

Langfuse

Only Langfuse (28)

CursorCrewAIAutoGenLangGraphLangChainLlamaIndexDifyMastra
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