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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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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
DSPy
vs
LiteLLM

Choose DSPy when…

  • •You want to optimize LLM pipelines programmatically
  • •You're running experiments and tuning prompts at scale
  • •Academic or research-oriented LLM workflows fit you

Choose LiteLLM when…

  • •You want a unified API across 100+ LLM providers
  • •You're switching between providers or running A/B tests
  • •You need fallbacks and load balancing across models
Field
DSPy
LiteLLM
Category
Pipelines & RAG
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
Enterprise: Custom
Stars
⭐ 18,000
⭐ 16,000
Health
●80 — Active
●75 — Active
Trajectory
— not enough data
— not enough data
Synced
2 days ago
today

DSPy

Stanford's framework for algorithmically optimizing LLM pipelines. Replaces hand-crafted prompts with declarative modules and automatic optimization.

LiteLLM

OSS proxy that normalizes 100+ LLMs to the OpenAI format. Add routing, fallbacks, caching, and cost tracking in one layer.

DSPy Website ↗GitHub ↗
LiteLLM Website ↗GitHub ↗

Shared Connections (1)

LangChain

Only DSPy (1)

LiteLLM

Only LiteLLM (31)

ContinueAiderClaude CodeOpenHandsPlandexCrewAIAutoGenLangGraph
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