n8n vs Activepieces
Both are open-source workflow automation tools, but they aim at different teams: n8n is the deeper AI-agent platform, Activepieces is the simpler, fully MIT-licensed one. Here is how they compare on AI, licensing, self-hosting, connectors, pricing, and reviews.
By Kshitij Maheshwari, co-founder · Updated June 2026
Same job, different center of gravity
Both are open-source automation platforms you can self-host. They split on depth versus simplicity, and on how open the license really is.
The deeper AI-agent stack, a JavaScript and Python code node, and a large connector library, built for technical GTM and ops teams who scale workflows. Source-available under a fair-code license, with a free unlimited self-host.
A friendlier builder, native AI agents and an MCP toolkit, and a true MIT license that is faster to stand up, embed, and white-label. The lighter, n8n-adjacent alternative.
- ✓You want the deepest AI-agent and code-step capabilities
- ✓You have a technical team scaling complex workflows
- ✓You value the largest connector library and community
- ✓You want a simpler builder that is fast to stand up
- ✓A permissive MIT license matters to you
- ✓You want to embed or white-label automation in your product
Short on time? We'll tell you which fits your stack.
What each tool actually is
n8n
A source-available automation platform with a deep AI-agent stack, valued at about 2.5 billion dollars. It pairs a visual builder with LLM and agent nodes, a JavaScript and Python code node, and a large library of connectors. Billed per execution, with a free, unlimited self-host. Best for technical GTM and ops teams that need power and agent depth.
Visit n8nActivepieces
An open-source, MIT-licensed automation platform built to be simpler than n8n and easy to self-host and embed. It has a friendly visual builder, native AI agents, an AI copilot, and one of the largest open-source MCP toolkits. Billed per active flow, with unlimited runs. Best for teams who want a permissive license and white-label embedding.
Visit Activepiecesn8n vs Activepieces, side by side
The facts that decide it, verified from each tool's official site in June 2026.
| Dimension | n8n | Activepieces |
|---|---|---|
| Best for | Powerful, AI-agent-heavy, technical automation | Simpler, MIT-licensed, embeddable automation |
| License | Fair-code, Sustainable Use (source-available) | MIT (true open source) |
| Self-host | Yes, Community, free, unlimited executions | Yes, Community Edition, MIT, free |
| AI and agents | Deep AI-agent stack, LLM nodes, code node | AI agents, AI copilot, MCP toolkit |
| Connectors | A large library of connectors | A large library of connectors |
| Value metric | Executions, per full workflow run | Active flows, per live flow, unlimited runs |
| Code steps | JavaScript and Python code node | Code piece, less central |
| White-label and embed | Limited, enterprise and license-restricted | Embed SDK on a MIT engine |
| Entry price | About 20 euros a month (Starter, 2,500 executions) | About 5 dollars per active flow a month (10 flows free) |
| Free tier | Community self-host, unlimited executions | 10 active flows plus MIT self-host |
| Standout | Deepest AI-agent and code flexibility, biggest community | MIT license plus white-label embed SDK |
n8n is priced in EUR, Activepieces in USD. Numbers verified June 2026, confirm the current plan on n8n and Activepieces before you buy.
What each one can and cannot do
A capability check, scored the same way for both tools.
| Capability | n8n | Activepieces |
|---|---|---|
| Self-hosting | ✓ | ✓ |
| OSI open-source license | Limited source-available, fair-code | ✓ MIT |
| Visual builder | ✓ | ✓ |
| AI agents and LLM nodes | ✓ deep stack | ✓ Agent Builder, Copilot |
| MCP support | ✓ | ✓ open MCP toolkit |
| Code and JS steps | ✓ JS and Python | Limited code piece |
| Large connector library | ✓ hundreds of integrations | ✓ hundreds of integrations |
| White-label and embed | Limited enterprise, license-restricted | ✓ embed SDK |
| Error handling and retries | ✓ | ✓ |
| Cloud hosting | ✓ | ✓ |
| Community templates | ✓ | ✓ |
| Webhook triggers | ✓ | ✓ |
"Limited" means available but not a core strength. n8n's code node runs full JavaScript and Python, while Activepieces keeps a lighter code piece and centers on its no-code builder.
What real users say
Public review scores and the themes that come up most, checked June 2026. The live links are the source of truth.
n8n
Praised for: the depth of its AI-agent and code-node flexibility, the large node library and community templates, and per-execution billing that rewards complex multi-step flows.
Watch-outs: a steeper learning curve, and a tool that leans more developer-oriented than friendly to business users.
Activepieces
Praised for: a friendly interface that simplifies automation without deep technical skill, the MIT license and active community, and rapid daily updates with responsive support.
Watch-outs: a smaller connector library and community than n8n, a thinner tutorial library, and Trustpilot complaints about past pricing and policy changes.
Read the scores in context. Activepieces sits higher on G2 than on Trustpilot, where some reviews focus on past pricing changes rather than the product itself. n8n's scores span large samples on both G2 and Capterra. Weigh the themes and the sample size, not just the average.
Where each one actually wins
Six things separate these tools in practice. Here is the honest call on each.
AI-agent depth
Edge: n8nThis is the deciding issue for most teams choosing between these two. n8n has the deeper agent stack, with LLM and agent nodes, sub-workflows, and a code node that runs full JavaScript and Python for arbitrary logic. Activepieces counters with native AI agents, an AI copilot that drafts flows from plain language, and a large open MCP toolkit, but its code piece is lighter and its builder stays no-code first. If your automations lean on heavy agent and code work, n8n has more room.
Simplicity and speed to stand up
Edge: ActivepiecesActivepieces is built to be the friendlier tool. The builder is simpler, the no-code path is the main path, and self-hosting is quick via Docker or Helm, so a small team can stand up automations fast. n8n is more powerful but more developer-oriented, with a steeper learning curve that reviewers note often. If you want to be running this week without a technical deep dive, Activepieces gets there sooner.
Licensing and white-label
Edge: ActivepiecesThis is the sharpest real difference, and most comparisons gloss over it. Activepieces is MIT-licensed, which is true OSI open source, so you can fork, resell, embed, and white-label the engine freely, and it ships an embed SDK for putting automation inside your own product. n8n uses a fair-code Sustainable Use License, which is source-available but restricts certain commercial and hosted-resale uses. For an agency or SaaS that wants to resell or embed automation, this is decisive.
Connector library and maturity
Edge: n8nBoth ship a large library of connectors and active community templates. n8n has the bigger catalog and the larger community, built up over more years, so for an obscure integration the odds of a ready node are better. Activepieces is smaller but growing fast, with a high share of connectors contributed by its community. If catalog breadth and maturity matter most, n8n is ahead.
Self-hosting story
Edge: tieBoth self-host genuinely well, and both remove metering when you do. n8n's Community Edition is free with unlimited executions on your own server. Activepieces' Community Edition is free, MIT-licensed, and runs via Docker, Helm, or any cloud, with free dev and staging for self-hosters. Either way you own the box and pay nothing per run, so this comes down to which engine you prefer rather than a real gap.
Pricing model
Edge: dependsThe two meter opposite axes, so the cheaper one depends on your flow topology. n8n bills per execution, a whole workflow run regardless of how many nodes it holds, so it punishes frequency but makes complexity free. Activepieces bills per active flow with unlimited runs, so it punishes breadth: many small flows add up, but a few high-volume flows stay cheap. Map your real workload before you assume one is cheaper.
Want the right one picked for your stack?
We wire both into live outbound. Tell us your setup and we'll call it.
What each one costs in 2026
Verified from each official pricing page in June 2026. Read the value metric, not just the headline number.
n8n
EUR / per execution- Community
Self-hosted, unlimited executions on your own serverFree - Starter
2,500 executions, unlimited steps20 euros/mo - Pro
10,000 executions, more concurrency50 euros/mo
Business is 667 euros a month with self-host and Git version control, Enterprise is Custom. n8n bills per execution, a whole workflow run, not per step.
Activepieces
USD / per active flow- Free
Up to 10 active flows, unlimited runs, AI agents, MCP servers$0 - Cloud
Beyond the free flows, unlimited runs per flowfrom $5/flow/mo - Ultimate
SSO, roles, audit logs, compliance controlsCustom
Community Edition is free and MIT-licensed to self-host. Activepieces meters active flows, not runs.
True cost at scale. n8n's per-execution model and free self-host keep complex workflows cheap, since a forty-node run still counts as one execution. Activepieces' per-active-flow pricing is simple for a handful of automations but adds up as flows multiply, though the MIT self-host is genuinely free. Both avoid the per-step metering that makes some tools expensive.
What neither tool does well
Both are automation engines, so they share the same blind spots. Worth knowing before you expect either to carry your whole outbound motion.
Neither finds the right accounts or buying signals for you. That is targeting, not plumbing, and it is the part that decides whether outreach lands.
Both need a technical person to design and maintain the workflows. They give you the canvas, not the strategy or the upkeep.
Neither sends or warms email on its own. You still wire in the sending infrastructure that keeps your domain healthy.
Need the sending layer these tools trigger? Start with a dedicated sender, see our best cold email tools for 2026. Want the right accounts found and timed for you? That is the signal-based outbound we run.
Our take, after running both
The choice is mostly about depth versus simplicity and how open the license needs to be, not a feature count. Here is how we'd call it in three situations.
The deeper agent stack, the JavaScript and Python code node, and the larger connector library give power users the most room as workflows grow.
A friendlier builder, a true MIT license, and an embed SDK make it quick to stand up and clean to white-label inside your own product.
If the job is to fire off automations, both do it. Pick on license and learning curve, and pair it with your sending stack.
Not sure which fits? We run signal-based outbound for early-stage teams and will tell you straight.
Book a Fit Check
Co-founder of Real Good GTM. He has been the first business hire and Chief of Staff at seed-stage B2B startups, building outbound pipeline before any playbook existed. This comparison comes from wiring both tools into live outbound, not from a spec sheet.
Connect on LinkedInQuestions buyers ask
Is n8n better than Activepieces?
Is Activepieces a good n8n alternative?
Which is cheaper, n8n or Activepieces?
Are n8n and Activepieces really open source?
Can I self-host n8n and Activepieces?
Which has better reviews, n8n or Activepieces?
Do n8n or Activepieces replace a tool like Zapier or Make?
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