Flowise vs LangChain
Side-by-side comparison with live GitHub signals. Last updated May 16, 2026.
| Metric | Flowise | LangChain |
|---|---|---|
| GitHub Stars | 52.8K | 136.8K |
| Contributors | 318 | 469 |
| Last Commit | May 14, 2026 | May 16, 2026 |
| Open Issues | 859 | 584 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
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About Flowise
Flowise is an open-source low-code tool for building customized LLM orchestration flows and AI agents. Its drag-and-drop UI lets you connect LLMs, memory, tools, and data sources visually. Supports LangChain and LlamaIndex under the hood, with 100+ integrations. Deploy as API endpoints with one click.
View full listingAbout 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.
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