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Comparison

FlowFn vs n8n

n8n is the developer’s pick — source-available (fair-code), code-friendly, self-hostable. FlowFn is hosted-first and AI-native, accessible to non-engineers, with forms and dashboards baked in. Ship workflows without DevOps, and share them across the whole team.

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TL;DR

The short version

  • n8n is open source and self-hostable, ideal for engineering teams that want to run their own automation infra.
  • FlowFn is hosted-first, AI-native, and built for cross-functional teams — no DevOps required.
  • Pick n8n if you need self-hosting or live in code; pick FlowFn to ship workflows without standing up a server.
Feature comparison

How FlowFn stacks up against n8n

Source-available (fair-code), code-friendly, self-hostable workflow automation.

Updated May 31, 2026

Reflects publicly documented features as of this date; competitor capabilities can change.

Feature

FlowFn

n8n

Setup & operations

Fully managed — sign up and ship

Self-host requires server setup; managed cloud also available

AI builder (describe → build)

Native — workflows, forms, playgrounds, and visualizers from plain English

AI Workflow Builder drafts workflows from plain English (Cloud only, credit-metered)

AI models in-line

60+ models, bring your own keys

Via individual model nodes

Agents — autonomous, embeddable

Goal-driven agent loop with embeddable chat widget, MCP tools, approval gates, and webhook/schedule triggers — no node graph to wire up

AI Agent node in a workflow graph; embeddable chat via the Chat Trigger + @n8n/chat widget, wired per-workflow rather than as a standalone agent

Built-in forms

Native form builder, embeddable

Hosted multi-step Form (Form Trigger + Form node), built inside a workflow — not standalone reusable forms

Visualizers

Native tables, charts, and dashboards

Built-in Insights dashboard for execution monitoring (Pro+); no data/chart builder for your own data

Playgrounds — embeddable mini apps wired to workflows

Native — HTML/CSS/JS pages, embed anywhere, one-click trigger wiring, plus direct action bindings to single platform-tool / AI calls

Not available

Realtime streams — multiplayer rooms for games & live apps

WebSocket rooms with presence; channels trigger workflows, server functions, or AI agents that answer the room as in-game characters; signed player tokens

Not available

Built-in content moderation

AI screens every published workflow, playground, and agent against the platform policy; HIGH-risk auto-blocks publish; owners can appeal from a banner

Opt-in Guardrails node for AI input/output filtering (jailbreak, NSFW, PII, etc.) wired into each workflow — no platform-level screening of published artifacts, no auto-block on publish

Approachable for non-engineers

AI Assistance + visual canvas, no code required

Code-leaning UX (JS/TS in steps is common)

Self-host / source-available

Not available

Included

Free plan (cloud)

Included

No free Cloud plan — 14-day trial only; free self-hosted (Community Edition)

Pricing

How n8n and FlowFn price differently

n8n is source-available — self-hosted is free in licence terms, but the real cost shows up in operations: a Docker host, a Postgres instance, log storage, monitoring, backups, security patching, and someone on call when a workflow errors at 3am. n8n Cloud removes that burden but moves to per-execution metering. FlowFn is hosted-only by design — credits cover runs and AI in a single pool, and there's no infra cost to amortise across workflows. For a small team, the FlowFn plan is typically less expensive than the all-in cost of self-hosting once you count engineer time; for an established platform team that already runs Postgres and Kubernetes, n8n self-host can be cheaper at high run volumes.

Why teams switch

What FlowFn does that n8n doesn’t

No infrastructure to run

Sign up and ship. No Docker, no Postgres, no oncall — workflows execute on managed infrastructure with credits as the unit.

Built for cross-functional teams

AI Assistance and a visual canvas make automation accessible to PMs, ops, and marketers — not just engineers comfortable in code nodes.

Forms and dashboards in-product

Collect data, automate it, and visualise the result — without bolting on another service.

Honest take

When n8n is the better choice

No tool is right for every team. Here’s when we’d send you to a competitor.

  • You require self-hosting, on-prem, or air-gapped deployment for compliance reasons.
  • Your team prefers writing JavaScript or TypeScript inside step nodes over visual configuration.
  • You want full source-code access to fork and customise the platform itself.
Migration

Migrating from n8n to FlowFn

A practical playbook for moving an existing workflow over without losing data or downtime.

  1. Export your workflow JSON from n8n (per-workflow, via the editor or CLI).
  2. Categorise nodes: pure integration nodes vs. Code/Function nodes that contain custom JavaScript.
  3. For integration-only workflows, use FlowFn’s AI Assistance to draft the visual equivalent from a one-line description.
  4. Code/Function nodes (JavaScript) map directly to FlowFn Custom Code steps — paste the code, adjust input/output references, and test. Python code in n8n Code nodes can be ported to JS or kept as an external API call.
  5. Re-add credentials in FlowFn (n8n credential names won’t carry over), run a few cycles, then disable the n8n workflow.
Free plan — no credit card needed

Try FlowFn free — see the difference yourself

Free forever plan. No credit card required. Build your first AI workflow in minutes.

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