LangChain vs LlamaIndex: which should you choose?
Both LangChain and LlamaIndex are popular choices for building RAG pipelines and LLM agents, but they have very different design philosophies. Real GitHub evaluation signals surface which framework practitioners are actively contributing to and building with right now.
A higher intent score means more developers are actively testing, forking, and contributing to that project right now. It’s the closest proxy we have to “which is gaining traction” without access to private usage data.
How the comparison works
This tool surfaces real developer evaluation activity from the last 30 days — PRs opened, issues filed, forks, and code pushes from non-team contributors. We run the same GitHub Archive query for both repos simultaneously (results cached 24h per repo), weight PRs (50%), issues (30%), and forks (20%) over stars, filter bots, and produce a 0–100 intent score. See the winner, score gap, and which developers are evaluating.