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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

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Use case

Stage

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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 integrates with
RAGAS
vs
Langfuse

Choose RAGAS when…

  • •You're evaluating a RAG pipeline specifically
  • •Context relevance and answer faithfulness are your key metrics
  • •You want an OSS eval framework focused on retrieval quality

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
RAGAS
Langfuse
Category
Prompt & Eval
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
Cloud: $59/mo
Stars
⭐ 7,000
⭐ 7,000
Health
●55 — Slowing
●80 — Active
Trajectory
— not enough data
— not enough data
Synced
today
today

RAGAS

Evaluates retrieval-augmented generation pipelines on faithfulness, answer relevancy, context precision, and recall.

Langfuse

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

RAGAS Website ↗GitHub ↗
Langfuse Website ↗GitHub ↗

Shared Connections (3)

LangChainLlamaIndexDeepEval

Only RAGAS (2)

LangfuseTruLens

Only Langfuse (25)

CursorCrewAIAutoGenLangGraphDifyMastraAgnoLiteLLM
See full comparison in Explore →