Activepieces vs n8n
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Activepieces | n8n |
|---|---|---|
| Pricing model | Freemium; SSO, audit logs, SCIM are paid tiers | Freemium; SSO and audit logging start at the €667/mo Business tier |
| Integration catalog | 760+ open-source pieces (Gmail, OpenAI, Slack, Notion, HubSpot) | 500+ pre-built nodes plus custom HTTP/GraphQL and cURL import |
| Code steps | TypeScript code step for the hardest steps | JavaScript and Python code steps anywhere in a workflow |
| AI agent tooling | AI agents with custom instructions, human approval gates, Tables, MCP server for Claude/ChatGPT/Cursor/Copilot/Gemini | Multi-agent and RAG pipelines, traceable AI reasoning, structured I/O enforcement, native AI evaluation, MCP support |
| Concurrency limits | Not stated in provided data | 5-concurrent executions on Starter, 20 on Pro |
| Target builder | Non-engineers across sales, support, marketing, ops — no code needed | IT Ops, SecOps, DevOps, and developers comfortable with Docker/self-hosting |
Pick Activepieces if your buyers are non-engineers and you need AI agents with human approval gates running without anyone touching a terminal — the chat-to-workflow drafting and per-step approval gates are the differentiator. Pick n8n if your team is technical, writes JavaScript or Python, and needs to inspect every AI reasoning step with structured I/O and native evaluation before it hits production. The real split is who builds the flow: Activepieces assumes a marketer or ops lead; n8n assumes someone who can run Docker and read a debugger. If your non-technical staff must own the automations, n8n's friction and its €667/mo Business-tier entry for SSO/audit will bite you.
Open-source AI automation: chat-drafted flows, agents, tables, and 760+ app connections you can self-host.
Visit Websiten8n is visual AI workflow automation with JavaScript and Python escape hatches, self-hostable and traceable end to end
Visit WebsiteWhat real users say: 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
105 mentions across 7 sources · 56% positive — mixed (averaged across 7 sources)
Hacker News, YouTube, Product Hunt, App Store, Stack Overflow, GitHub, Lemmy
What users praise
- • Self-host with Docker or n8n Cloud—full control over your data.
- • Execution-based pricing, not per-step, unlike Zapier.
- • Visual canvas with JavaScript/Python code steps anywhere.
- • 500+ integrations and MCP support for legacy systems.
What frustrates them
- • Not actually open source—Commons Clause restricts commercial use.
- • Steep learning curve for non-technical users.
- • UI is clunky and unintuitive, especially for beginners.
- • Scaling workflows from test to production is problematic.
Researched Aug 18, 2026
Feature-by-feature
The capability split is about who sits at the keyboard. Activepieces leads with no-code: a chat interface where you describe a workflow in plain words, the agent drafts the flow, and 760+ pieces (Gmail, OpenAI, Slack, Notion, HubSpot) are assembled by drag-and-drop with branching, retries, waitpoints, subflows, and error handling. Tables give flows and agents a shared data store, an MCP server connects agents to Claude, ChatGPT, Cursor, GitHub Copilot, and Gemini, and human approval gates let a person sign off on steps touching money, customers, or production — reinforced by the July 2026 push on vibe automation and safe-agent operation. n8n leads with technical control: JavaScript and Python code steps anywhere in the canvas, cURL-imported API nodes, per-step input/output inspection, and traceable AI reasoning so you can read the prompt, response, and next action of every AI step. Its AI stack goes deeper on rigor — multi-agent setups, RAG pipelines, structured input/output enforcement on AI steps, rule-based guardrails, and native AI evaluation against real data. Both support MCP, both support human-in-the-loop approvals, both self-host. The difference: Activepieces optimizes for a non-engineer shipping an agent today; n8n optimizes for an IT Ops or SecOps engineer who must audit and regression-test the agent before and after it ships.
Pricing compared
Both are freemium and open-source, so the headline number is not where the decision lives — governance and concurrency are. Activepieces gates enterprise controls: SSO (Okta/Entra), audit logs, SCIM, secret managers, and standard or custom roles are paid-tier features, and its stated 'not for' is teams on the free tier expecting enterprise governance. The vendor threads its July 2026 news with a cost argument — positioning unlimited automations against quota-trap competitors like ClickUp — but the data here doesn't give a step price or tier list, so budget for the governance tier. n8n is more explicit about the ceiling: SSO and audit logging start at the €667/mo Business tier, and concurrency is capped at 5 concurrent executions on Starter and 20 on Pro. That means high-volume production flows queue behind those limits, which is a real cost hidden behind 'freemium'. If you need SOC 2 or HIPAA artifacts out of the box, n8n's own data says you won't get them there. Bottom line: Activepieces' cost story is per-step economics versus Zapier/Make; n8n's cost story is self-host the open source, but pay €667/mo the moment compliance and SSO enter the room.
Who should pick which
- Ops or marketing lead with no engineering supportPick: 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 pipelinesPick: 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 costsPick: 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 codePick: 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 approvalsPick: 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
Activepieces vs n8n: which should you choose?
Pick Activepieces if your buyers are non-engineers and you need AI agents with human approval gates running without anyone touching a terminal — the chat-to-workflow drafting and per-step approval gates are the differentiator. Pick n8n if your team is technical, writes JavaScript or Python, and needs to inspect every AI reasoning step with structured I/O and native evaluation before it hits production. The real split is who builds the flow: Activepieces assumes a marketer or ops lead; n8n assumes someone who can run Docker and read a debugger. If your non-technical staff must own the automations, n8n's friction and its €667/mo Business-tier entry for SSO/audit will bite you.
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.
More Activepieces or n8n comparisons
If you're a large enterprise already on ServiceNow and need a compliant, omnichannel assistant that deflects tickets out of the box, Moveworks is the obvious choice—but expect a sales cycle and enterp
If you're automating processes, connecting 500+ services, or orchestrating AI agents with full traceability, pick n8n. If you're building internal CRUD apps and dashboards on your own data, Appsmith i
If you run an enterprise SOC drowning in 1000+ daily alerts and want autonomous triage with a learning memory, Torq is built for you—but you'll pay enterprise prices. If you're a technical team needin
For business teams wanting a polished, no-code canvas to connect thousands of SaaS apps with advanced visual logic, Make is the safer bet. For engineers and IT/SecOps teams who need self-hosting, code
If you’re an executive, sales, or marketing person who wants to fuel an AI agent from a chat prompt without dealing with code or infrastructure, choose AutoGPT — it even lands in Discord/Telegram now.
Explore each tool further
Browse these categories
One email a week — new tools, honest comparisons, no spam.
Last reviewed: September 23, 2026