Flowise vs LangChain
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Flowise suits teams needing open-source access, visual builder focus, and 55,384 GitHub stars in current listing data. LangChain suits teams needing open-source access, python focus, and 144,745 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | Flowise | LangChain |
|---|---|---|
| GitHub Stars | 55.4K | 144.7K |
| Contributors | 316 | 467 |
| Last Commit | Aug 13, 2026 | Aug 22, 2026 |
| Open Issues | 1047 | 416 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose Flowise if you need
- • Flowise is the stronger pick when Visual Builder matters because that capability is listed only on its profile.
- • Flowise is the cleaner fit if you specifically need Visual Builder workflows from the catalog tags.
Choose LangChain if you need
- • LangChain stands out for Python workflows that are not listed for Flowise.
- • LangChain is the stronger pick when Chain matters because that capability is listed only on its profile.
- • LangChain shows broader GitHub adoption with 144,745 stars versus 55,384 for Flowise.
Meaningful differences
- • Workflow emphasis: Flowise highlights Typescript, while LangChain highlights Python.
- • GitHub adoption: Flowise shows 55,384 stars versus 144,745 for LangChain.
- • Contributor count: Flowise lists 316 contributors and LangChain lists 467.
Shared capabilities
- • Rag
Shared Tags
Only in Flowise
Only in LangChain
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
Source links
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.
View full listing