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123 tools · 10 stacks
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AI tools are all over the place. This is the full landscape — 123 tools across 12 categories, mapped and connected. Ready to narrow it down? Build your stack →

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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?
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These tools often paired
LangChain
vs
DSPy

Choose LangChain when…

  • •You want a broad, flexible LLM orchestration toolkit
  • •You need integrations with many tools and data sources
  • •You're prototyping or exploring LLM app patterns

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
Field
LangChain
DSPy
Category
Pipelines & RAG
Pipelines & RAG
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
—
Stars
⭐ 93,000
⭐ 18,000

LangChain

Most widely used framework for building LLM applications. Chains, agents, RAG pipelines, and deep integrations with 300+ tools.

DSPy

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

LangChain Website ↗GitHub ↗
DSPy Website ↗GitHub ↗

Shared Connections (1)

LiteLLM

Only LangChain (23)

OpenHandsCrewAIAutoGenLangGraphSemantic KernelLangSmithLlamaIndexQdrant

Only DSPy (1)

LangChain
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