Activepieces vs n8n

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-11-13
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Activepieces or n8n: which should you choose?

DimensionActivepiecesn8n
Integration catalog760+ open-source pieces (Gmail, OpenAI, Slack, Notion, HubSpot)500+ pre-built nodes plus custom HTTP/GraphQL and cURL import
Code stepsTypeScript code step for the hardest stepsJavaScript and Python code steps anywhere in a workflow
AI agent toolingAI agents with custom instructions, human approval gates, Tables, MCP server for Claude/ChatGPT/Cursor/Copilot/GeminiMulti-agent and RAG pipelines, traceable AI reasoning, structured I/O enforcement, native AI evaluation, MCP support
Concurrency limitsNot stated in provided data5-concurrent executions on Starter, 20 on Pro
Target builderNon-engineers across sales, support, marketing, ops — no code neededIT Ops, SecOps, DevOps, and developers comfortable with Docker/self-hosting

Our Activepieces vs n8n verdict written Sep 23, 2026 quotes $667, which no longer matches the verified price table, so it is being re-reviewed and is not shown.

Activepieces
Activepieces

Open-source AI automation you can self-host: chat a workflow into agents, flows, and tables across 770+ app connections.

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n8n
n8n

n8n is a visual workflow automation platform where AI agents and integrations run on a canvas you can read, trace, and audit.

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Pricing
Freemium
Freemium
Plans
FreeFree
Plus$20/mo
Team$200/mo
UltimateCustom
EmbedFrom $36,000/yr
Enterprise controlCustom
Community EditionFree
Starter€20/mo billed annually
Pro€50/mo billed annually
Business€667/mo billed annually
EnterpriseCustom
Popularity
3.8k views
5.9k views
Skill Level
Beginner-friendly
Advanced
API Available
Platforms
WebAPI
WebAPI
Categories
🤖 Automation & Agents🕸️ Agent Frameworks & Orchestration
🤖 Automation & Agents🕸️ Agent Frameworks & Orchestration
FeaturesActivepiecesn8n
Chat to automation: describe a job in plain words and the agent drafts the flow
AI agents that pick their own tools across connected apps and MCP servers
Human approval gates on steps that touch money, customers, or production
Flow builder with branching, retries, waitpoints, subflows, and error handling
Runs resume from their last checkpoint instead of restarting
770+ MIT-licensed open-source app connections (pieces)
Tables: a data store that both flows and agents read and write
Agent Knowledge Base: documents searchable by every agent
MCP server so Claude and Cursor can build and run your flows
HTTP piece for any REST or GraphQL API with auth and pagination handled
Inline TypeScript code step for logic the visual builder can't express
Bring your own AI provider keys: Anthropic, OpenAI, AWS Bedrock, Google Gemini
Projects isolating each team's or client's workspace
SSO via Okta or Entra with standard and custom roles
Audit logs streamed to your SIEM in real time
Visual drag-and-drop canvas showing inputs and outputs beside every step
Build and run AI agents, including multi-agent and RAG setups (2026-10-09)
Watch agents work live or reopen any past run in the same workflow
Structured inputs and outputs enforced around AI actions
Human approval for tool calls and human-in-the-loop guardrails
MCP Server Trigger, MCP Client and instance-level MCP
Hosted and embedded chat for agents
Top up n8n Assistant credits beyond your plan's monthly allotment (2026-10-14)
JavaScript or Python code steps inside any workflow
Custom nodes and bash scripts on self-hosted installs
500+ native integrations plus any API via HTTP or GraphQL
Import cURL commands to auto-create request nodes
Trigger workflows from webhooks, queues, the n8n API or CLI
Light evaluations on every plan, plus metric-based evaluations
Re-run just the step that broke, with version history and workflow diff
IntegrationsActivepiecesn8n
Slack
Gmail
HubSpot
OpenAI
Anthropic
Google Gemini
AWS Bedrock
Notion
Snowflake
QuickBooks
Stripe
HashiCorp Vault
Okta
Splunk
GitHub
Jira
Google Sheets
Salesforce
PostgreSQL
Datadog
ServiceNow
Asana
Zoom
LangSmith

What do real users say about Activepieces vs n8n?

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Activepieces

62 mentions across 4 sources · 76% positive (averaged across 4 sources)

Hacker News, YouTube, Product Hunt, GitHub

What users praise

  • • True open-source license (MIT) allows free use in commercial apps
  • • Drag-and-drop builder is praised for being easy and intuitive
  • • Active and responsive team; feature requests implemented in a day
  • • Very competitive pricing compared to Zapier and n8n

What frustrates them

  • • Advanced features are gated behind paid tiers, limiting open-source claim
  • • Fewer integrations than rivals (700 vs n8n's 1000+)
  • • Community edition lacks some power features, pushing users to paid plans
  • • Some users find n8n's workflow capabilities more advanced for complex automation

Researched Aug 21, 2026

n8n

119 mentions across 8 sources · 61% positive — mixed (weighted across 8 sources)

Hacker News, YouTube, Product Hunt, App Store, Bluesky, Stack Overflow, GitHub, Lemmy

What users praise

  • • Self-hosting avoids Zapier's per-task pricing and expensive tier upgrades
  • • Every node shows input and output, making workflows auditable and debuggable
  • • JavaScript and Python code steps provide escape hatches when visual nodes fall short
  • • 500+ integrations plus HTTP/GraphQL and cURL import cover almost any API

What frustrates them

  • • Licensing is source-available, not true open source — a real buyer beware
  • • Complex workflows balloon into visual spaghetti that's harder to maintain than code
  • • Self-hosted installs frequently fail to connect through Cloudflare or proxies
  • • Webhook retries cause duplicate data without manual idempotency handling

Researched Nov 7, 2026

Who should pick Activepieces, and who should pick n8n?

  • Ops or marketing lead with no engineering support
    Pick: Activepieces

    The chat-to-automation interface drafts flows from plain-English descriptions and the visual builder needs no code, so a non-technical owner can ship and maintain workflows themselves.

  • SecOps engineer building threat-intelligence pipelines
    Pick: n8n

    Traceable AI reasoning, structured input/output enforcement, and rule-based guardrails let every enrichment step stay auditable, which is exactly the SOAR-style requirement n8n targets.

  • Team migrating off Zapier or Make to cut per-step costs
    Pick: Activepieces

    Activepieces explicitly positions unlimited automations against quota-based models, and 760+ pieces cover the common SaaS integrations a Zapier user already runs.

  • Developer building multi-agent or RAG systems with custom code
    Pick: n8n

    JavaScript and Python code steps anywhere, RAG pipeline support, multi-agent builder, and native AI evaluation cover the build-and-regression-test loop Activepieces' TypeScript step alone won't.

  • Org needing air-gapped or EU-resident self-hosted agents with approvals
    Pick: Activepieces

    Self-hosted, air-gapped, and EU data residency are named, plus human approval gates and audit logs are built in rather than bolted onto a higher tier — provided you pay for the governance tier.

Frequently Asked Questions

Can a non-technical person really build an agent in either tool?

Activepieces is explicitly designed for every department with a no-code chat-to-automation path. n8n's own 'not for' list names non-technical users who want plug-and-play without a server to think about, so this is the clearest single-axis decision.

Which one is cheaper at scale?

The data doesn't publish Activepieces' per-step or tier prices, so a hard number comparison isn't supported. n8n's disclosed constraints are the €667/mo Business tier for SSO/audit and 5- or 20-concurrent-execution caps on Starter and Pro, which are the costs that surface as you scale.

Do both support connecting agents to Claude, ChatGPT, or Cursor?

Activepieces ships an MCP server for exactly those clients. n8n also lists MCP support, including building and updating n8n workflows from inside your own AI app, so the distinction is workflow-management-through-MCP rather than mere connectivity.

What happens to a workflow when every step runs but one fails?

n8n lets you re-run a single step instead of the entire workflow, which matters on long multi-step AI pipelines. Activepieces handles failure through branching, retries, error handling, and waitpoints in the visual builder rather than step-level replay.

Which has more integrations?

Activepieces lists 760+ open-source pieces; n8n lists 500+ pre-built nodes but adds cURL import and custom HTTP/GraphQL so you can build what's missing. If you need 10,000+ niche connectors, Activepieces' own 'not for' note says Zapier and Make are still larger.

What else are Activepieces and n8n compared with?

Where can you read more about Activepieces and n8n?

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Analysis generated by our model pipeline from live data: