Which is more popular, LangChain or MinerU?

LangChain has more GitHub stars (147,349 vs 80,939).

Which is more actively developed, LangChain or MinerU?

MinerU had more commits in the last 90 days (911 vs 543).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

LangChain is growing faster: +23,335 GitHub stars in the last 30 days vs +3,758 for MinerU.
Pick LangChain for: the agent engineering platform. Pick MinerU for: transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

From GitHub data refreshed daily.

LangChainopen-source

The agent engineering platform

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

+Extensive ecosystem with seamless integration between LangGraph, LangSmith, and hundreds of third-party components
+Future-proof architecture that adapts to evolving LLM technologies without requiring application rewrites
+Strong community support with 131k+ GitHub stars and comprehensive documentation for both Python and JavaScript

-Significant learning curve due to the framework's extensive feature set and multiple abstraction layers
-Potential over-engineering for simple use cases that might be better served by direct API calls
-Heavy dependency on the LangChain ecosystem which can create vendor lock-in concerns

•Building complex multi-agent systems that require planning, tool use, and coordination between different AI components
•Creating production LLM applications with observability, debugging, and deployment infrastructure via LangSmith
•Developing chatbots and conversational AI with memory, context management, and integration with external data sources

Which is more popular, LangChain or MinerU?: LangChain has more GitHub stars (147,349 vs 80,939).
Which is more actively developed, LangChain or MinerU?: MinerU had more commits in the last 90 days (911 vs 543).
Should I use LangChain or MinerU?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.