head to head · open source
n8n vs Langflow
n8n has 205,086 GitHub stars, 60,753 forks, 1,143 open issues and last shipped today. Langflow has 154,959 stars, 10,109 forks, 1,056 open issues and last shipped today. n8n leads on adoption by 32% (205,086 vs 154,959 stars). n8n is written in TypeScript under a custom or non-standard licence; Langflow is written in Python under MIT. n8n has attracted 30% as many forks as stars, Langflow 7%. n8n was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 13541 open source comparisons
Side by side
| n8n | Langflow | |
|---|---|---|
| GitHub stars | ★ 205K | ★ 155K |
| License | Custom / other | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-09-18 | 2026-09-18 |
| Forks | ⑂ 61K | ⑂ 10K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick n8n if
- You weight community size — 205K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick Langflow if
- You want the Langflow feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Langflow fits your workflow better
About n8n
n8n is a visual workflow automation platform built in TypeScript that combines a drag and drop editor with custom code execution. It lives in the integration and automation ecosystem, positioned as an open alternative to proprietary services like Zapier. Users design multi step workflows—called “n8n flows”—that connect apps, services, and custom logic to automate repetitive tasks.
About Langflow
Langflow is a visual builder platform for designing, testing, and deploying AI agents and retrieval augmented generation (RAG) pipelines. It lives in the Python based generative AI ecosystem and targets developers building intelligent applications. The project provides a low code interface to assemble components—such as LLMs, vector stores, memory modules, and tools—into executable workflows, while also exposing those workflows as APIs or MCP servers for integration into external applications.
read the full Langflow overview →
More in Productivity & Utilities
Related comparisons
More Automation projects
Compare either of these against the rest of the Automation field.
Frequently asked questions
Is n8n or Langflow more popular?
n8n has 205,086 GitHub stars and Langflow has 154,959. n8n has the larger community by that measure.
Are n8n and Langflow free?
Both are open source. n8n has no licence declared in this registry, and Langflow is licensed under MIT. Both are free to self-host.
What is the difference between n8n and Langflow?
n8n is written in TypeScript and Langflow in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, n8n or Langflow?
Choose n8n if you want the larger community (205,086 stars) or its Custom / other licence terms. Choose Langflow if its feature set, stack or MIT licence fits better. Both are self-hostable.