langflow vs n8n
The two are close in size: 154.3k stars for langflow, 203.4k for n8n. Over the days we have tracked them langflow moved +1.4% and n8n +3%, so n8n is growing faster right now.
n8n leads on context depth and noise control and model freedom. langflow does not take any axis by a clear margin.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
Provides a visual low-code flow builder with built-in API and MCP servers to turn workflows into deployable tools.
- Stars
- 154.3k
- Tracked growth
- +1.4%
- Maturity
- ●●●●●
- Last commit
- 10h ago
- Language
- Python
- License
- MIT
- Cost to run
- Bring your own API key or self-hosted
Provides a visual low-code canvas plus custom code and 1,500+ integrations to build production-ready multi-step AI agents with self-hosting and no provider lock-in.
- Stars
- 203.4k
- Tracked growth
- +3%
- Maturity
- ●●●●●
- Last commit
- 22m ago
- Language
- TypeScript
- License
- NOASSERTION
- Cost to run
- Self-hostable; cloud offering available
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | langflow | n8n |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Diff only | ●●●●● Workflow-level |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● None mentioned | ●●●●● Human approvals |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Customizable code and UI | ●●●●● Highly extensible |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Self-hostable | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Multiple providers | ●●●●● Provider-agnostic |
Setup ease What it takes to get a first useful run out of it. | ●●●●● One-command start | ●●●●● One-command start |
Which one to pick
Pick langflow if…
Easy setup — run locally in one command or use the Desktop app to start building and deploying agents quickly.
Pick n8n if…
Model flexibility — pick OpenAI, Anthropic, Google, or open-source models and self-host the platform while composing agents visually and adding custom code.
- Context depth: Workflow-level (3/5 against 1/5)
- Noise control: Human approvals (3/5 against 1/5)
- Model freedom: Provider-agnostic (5/5 against 3/5)
What people want from each one
langflow-ai/langflow
n8n-io/n8n
Questions people ask
Is langflow better than n8n?
n8n leads on context depth and noise control and model freedom. langflow does not take any axis by a clear margin. langflow is worth picking when easy setup — run locally in one command or use the Desktop app to start building and deploying agents quickly.
Which of langflow and n8n keeps my code private?
langflow: Self-hostable (4/5). n8n: Self-hostable (4/5).
What does each one cost to run?
langflow: Bring your own API key or self-hosted. n8n: Self-hostable; cloud offering available.
Full profiles: langflow-ai/langflow and n8n-io/n8n. Everything else in Low-code builders.