Flowise vs LangGraph
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. LangGraph suits teams needing open-source access, python focus, and 40,209 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 | LangGraph |
|---|---|---|
| GitHub Stars | 55.4K | 40.2K |
| Contributors | 316 | 278 |
| Last Commit | Aug 13, 2026 | Aug 22, 2026 |
| Open Issues | 1047 | 708 |
| 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 shows broader GitHub adoption with 55,384 stars versus 40,209 for LangGraph.
- • Flowise has a larger visible contributor base (316 vs 278).
Choose LangGraph if you need
- • LangGraph stands out for Python workflows that are not listed for Flowise.
- • LangGraph is the stronger pick when Graph matters because that capability is listed only on its profile.
- • LangGraph is the cleaner fit if you specifically need Graph workflows from the catalog tags.
Meaningful differences
- • Workflow emphasis: Flowise highlights Typescript, while LangGraph highlights Python.
- • GitHub adoption: Flowise shows 55,384 stars versus 40,209 for LangGraph.
- • Contributor count: Flowise lists 316 contributors and LangGraph lists 278.
Shared capabilities
- • Langchain
- • Open Source
Shared Tags
Only in Flowise
Only in LangGraph
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.
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 LangGraph
LangGraph is LangChain's framework for building stateful, multi-actor agent applications as graphs. Define agents as nodes and their interactions as edges, with built-in persistence, streaming, human-in-the-loop, and time-travel debugging. The standard for production agent orchestration in the LangChain ecosystem.
View full listing