LangChain vs Langflow
Side-by-side comparison with live GitHub signals. Last updated June 30, 2026.
| Metric | LangChain | Langflow |
|---|---|---|
| GitHub Stars | 140.6K | 150.2K |
| Contributors | 469 | 338 |
| Last Commit | Jun 29, 2026 | Jun 30, 2026 |
| Open Issues | 413 | 968 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
Only in LangChain
Only in Langflow
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 Langflow
Langflow is a visual framework for building multi-agent and RAG applications. Its drag-and-drop interface lets you create complex agent workflows without code, while still allowing Python customization. Supports all major LLM providers, vector stores, and tools. Export flows as APIs with one click. The most popular visual agent builder.
View full listing