LangChain vs Vellum
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
| Metric | LangChain | Vellum |
|---|---|---|
| GitHub Stars | 131.9K | — |
| Contributors | 469 | — |
| Last Commit | Mar 31, 2026 | — |
| Open Issues | 509 | — |
| License | open-source | commercial |
| Pricing | open-source | freemium |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
Only in LangChain
Only in Vellum
About LangChain
LangChain is the most widely adopted framework for building LLM-powered applications. It provides modular abstractions for chains, agents, memory, retrievers, and tools, enabling developers to compose complex pipelines from reusable components. Available in both Python and JavaScript/TypeScript, LangChain integrates with every major LLM provider, vector store, and data source. Its ecosystem includes LangSmith for observability and LangGraph for stateful, graph-based agent workflows.
View full listingAbout Vellum
Vellum is an AI development platform with a visual workflow builder, prompt playground, and evaluation suite. It provides both no-code visual tools and a full SDK for building production LLM applications. Enterprise features include version control, A/B testing, access controls, and deployment management.
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