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n8n vs Yugo

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both — n8n has a free plan, Yugo is free to use
Public API
Both have one
Higher Trust score
n8n — 75 vs 67 for Yugo
Best fit
n8n: Technical teams that want to self-host automation with Docker, on-prem or air-gapped · Yugo: Developers curious about a specific angle on AI-feature discovery for an existing app
Platforms
n8n: Web, Linux · Yugo: Web

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

Factn8nYugo
CategoryWorkflow Automation PlatformsIntegration & iPaaS
Pricing modelFreemiumFree
Public APIYesYes
Trust score75 / 10067 / 100
PlatformsWeb, Linux, APIWeb, API
Companyn8n GmbH—
Last verifiedSep 6, 2026Sep 1, 2026

What our research says

n8n

The automation tool to pick when you want agents and integrations on one canvas and the option to run it on your own hardware; self-hosting from GitHub is the escape hatch Zapier and Make do not offer. Cloud pricing is per execution rather than per task, which rewards long workflows, but the monthly figures hide behind a toggle and the Business tier is a self-hosted licence at a very different price point.

Pros

  • Self-hosted Community Edition on GitHub under a fair-code licence, with 207k stars
  • Agent, model, MCP and RAG nodes alongside 500+ app integrations
  • JavaScript or Python at any step, with a canvas that traces agent reasoning
  • Execution-based cloud billing with unlimited steps per execution
  • Public REST API on all self-hosted editions and on cloud Starter and above

Cons

  • Cloud prices were shown only in euros and only as annual-billing figures
  • Business tier (€667 a month) is self-hosted only, with cloud availability on a waitlist
  • Fair-code licence is not OSI open source, which matters for some corporate policies
  • Forum-only support below Enterprise

Yugo

Yugo's pitch — read your API docs and recommend AI features to add, rather than making you research each provider — is a genuinely useful shortcut if it works as described. It is openly in alpha, has no published pricing, and no visible company behind it, so it reads as an early solo or small-team project rather than a settled product.

Pros

  • Analyzes existing API documentation rather than starting from a blank slate
  • Supports multiple AI providers (OpenAI, Google AI, Hugging Face) rather than locking into one
  • Offers one-click setup for recommended features
  • Free to join during the current pre-access phase

Cons

  • Explicitly alpha-stage software with no track record yet
  • No pricing, company name, or location is disclosed anywhere
  • Demo and main site are split across subdomains, adding friction to evaluate it

Which one fits

Choose n8n if you need

  • Technical teams that want to self-host automation with Docker, on-prem or air-gapped
  • Builders combining LLM agents, MCP tools and RAG with ordinary app integrations
  • Workflows with many steps, since billing counts executions rather than individual operations

Choose Yugo if you need

  • Developers curious about a specific angle on AI-feature discovery for an existing app
  • Early adopters comfortable testing alpha software with no pricing commitment yet
  • Small teams evaluating options before building an AI integration by hand

n8n vs Yugo: the questions people ask

Does n8n or Yugo have a free tier?

Both: n8n has a free tier, and Yugo is free to use.

Which has a public API, n8n or Yugo?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

All n8n alternatives →All Yugo alternatives →Browse all Workflow Automation Platforms →