n8n
by n8n · Visual workflow and AI agent automation with code steps and self-hosting
BenchRank score
Screenshots of n8n
Homepage
Overview
n8n is a workflow automation platform for building AI agents and business process automations on a visual canvas. Workflows chain pre-built nodes for over 500 apps alongside custom HTTP or GraphQL calls, and JavaScript or Python code steps can be added anywhere in the flow. It runs on n8n's cloud or self-hosted with Docker, with the source code on GitHub.
- Best for
- Technical teams building AI agents and integrations that need code steps and a self-hosting option.
- Pricing
- Free trial with no credit card and a free self-hosted Community Edition, then Starter at £20/month (2.5k executions), Pro at £50/month (10k), Business at £570/month (40k) billed annually, and Enterprise on request.
- Runs on
- WebSelf-hosted
Strengths and trade-offs
Strengths
- Visual canvas plus JavaScript or Python code in any step
- Self-host via Docker or GitHub source, or use n8n's cloud
- 500+ pre-built nodes plus custom HTTP and GraphQL requests
- Billed per full workflow execution, not per step or per user
Trade-offs
- SSO, Git version control and environments start at the £570/mo Business plan
- Starter caps at 2.5k executions/month and 7 days of execution log retention
- AI Assistant and multi-main are listed as coming soon, not yet available
- Bash scripts and custom nodes are only available when self-hosting
How n8n markets itself
A structured read of the promise, proof and page design on n8n’s captured homepage.
Homepage capture
“AI agents and workflows”
- Angle: AI-native
- Hero: Product screenshot
Pricing
Published plans and prices from n8n’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
Where this comes from
The n8n pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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