Langflow vs LangGraph
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Langflow suits teams needing open-source access, visual builder focus, and 153,543 GitHub stars in current listing data. LangGraph suits teams needing open-source access, typescript 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 | Langflow | LangGraph |
|---|---|---|
| GitHub Stars | 153.5K | 40.2K |
| Contributors | 351 | 278 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 968 | 708 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose Langflow if you need
- • Langflow is the stronger pick when Visual Builder matters because that capability is listed only on its profile.
- • Langflow shows broader GitHub adoption with 153,543 stars versus 40,209 for LangGraph.
- • Langflow has a larger visible contributor base (351 vs 278).
Choose LangGraph if you need
- • LangGraph stands out for Typescript workflows that are not listed for Langflow.
- • 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: Langflow highlights Python, while LangGraph highlights Typescript.
- • GitHub adoption: Langflow shows 153,543 stars versus 40,209 for LangGraph.
- • Contributor count: Langflow lists 351 contributors and LangGraph lists 278.
Shared capabilities
- • Multi Agent
- • Python
- • Open Source
Shared Tags
Only in Langflow
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 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 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