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langgraph-engineering vs datachain-core

langgraph-engineering and datachain-core are both ai and llm tools skills. datachain-core scores higher (85 vs 30 out of 100). datachain-core has more GitHub stars (2.8k), and datachain-core was updated more recently (3 days ago). The table compares them side by side.

langgraph-engineeringdatachain-core
Score30 / 10085 / 100
What it doesBuilding stateful, resilient AI agents with LangGraph v1.0.Use ONLY for abstract DataChain SDK questions — API usage, method signatures, or code patterns — when no specific dataset or bucket is referenced. If the request mentions creating, saving, listing, exploring datasets or buckets, use datachain-knowledge instead.
PublisherCommunity: gabrielmoreiraCommunity: datachain-ai
GradesMaintenance A, Licence A, Quality DMaintenance A, Licence A, Quality A
npm downloads a weekNot on npmNot on npm
RunsSkillSkill
Works withClaude Code, Claude appsClaude Code, Claude apps
GitHub stars192,827
Last commit20 Oct 202620 Oct 2026
LicenceMITApache-2.0
Listed since19 Oct 202620 Oct 2026
Install langgraph-engineeringInstall datachain-core

Questions

Is langgraph-engineering or datachain-core more popular?

datachain-core has more GitHub stars: 2,827.

Can I use langgraph-engineering and datachain-core together?

Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.