Langfuse vs n8n
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Langfuse suits teams needing freemium free tier, observability focus, and 33,539 GitHub stars in current listing data. n8n suits teams needing freemium free tier, automation focus, and 201,567 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 | Langfuse | n8n |
|---|---|---|
| GitHub Stars | 33.5K | 201.6K |
| Contributors | 196 | 425 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 811 | 1062 |
| License | open-source | source-available |
| Pricing | freemium | freemium |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | No | No |
Choose Langfuse if you need
- • Langfuse is the better fit when you need open-source licensing instead of source-available terms.
- • Langfuse stands out for Observability workflows that are not listed for n8n.
- • Langfuse is the stronger pick when Llamaindex matters because that capability is listed only on its profile.
Choose n8n if you need
- • n8n stands out for Automation workflows that are not listed for Langfuse.
- • n8n is the stronger pick when Slack matters because that capability is listed only on its profile.
- • n8n shows broader GitHub adoption with 201,567 stars versus 33,539 for Langfuse.
Meaningful differences
- • License: Langfuse uses open-source, while n8n uses source-available.
- • Workflow emphasis: Langfuse highlights Observability, while n8n highlights Automation.
- • GitHub adoption: Langfuse shows 33,539 stars versus 201,567 for n8n.
- • Contributor count: Langfuse lists 196 contributors and n8n lists 425.
Shared capabilities
- • Langchain
- • Openai
- • Anthropic
Shared Tags
Only in Langfuse
Only in n8n
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 Langfuse
Langfuse is an open-source LLM engineering platform providing observability, analytics, and prompt management. Features distributed tracing for complex agent chains, evaluation scoring, prompt versioning and A/B testing, dataset management, and cost tracking. Integrates with LangChain, LlamaIndex, OpenAI SDK, and any LLM framework via OpenTelemetry.
View full listingAbout n8n
n8n is a fair-code workflow automation platform combining a visual node editor with custom JavaScript/Python code. Features native AI capabilities via LangChain-based agent workflows, 400+ integrations, 900+ ready-to-use templates, and MCP client/server support. Enterprise features include SSO, advanced permissions, and air-gapped deployment. The most popular open-source workflow automation engine, powering thousands of AI agent workflows. Self-host or use n8n cloud.
View full listing