n8n vs Activepieces: Licence, Builder, and Who Maintains It
September 29, 2026
n8n vs Activepieces is the self-hoster's version of the automation question. You've already decided the automation should run on your own server, and now you have two credible options. The short answer: n8n is the deeper tool for technical teams, and Activepieces is the easier one to hand to the rest of the company, with a more permissive licence at its core.
Price isn't what separates them. n8n and Activepieces both charge one unit per workflow run, however many steps it has. What does separate them:
- Licence. n8n is source-available under the Sustainable Use License. Activepieces' core is MIT, with enterprise features under a separate commercial licence.
- Builder. n8n is a node graph with JavaScript and Python where you need them. Activepieces is a step-by-step flow builder with inline TypeScript.
- Integrations. n8n's library is larger. Activepieces' "pieces" are open-source TypeScript packages that anyone can extend.
- Who maintains it. Engineers tend to prefer n8n. Mixed teams tend to cope better with Activepieces.
Quick comparison
As of September 2026, per each vendor's own site and docs:
| n8n | Activepieces | |
|---|---|---|
| Licence | Sustainable Use License (source-available); .ee files need an Enterprise licence | MIT core; packages/ee under a commercial licence |
| Self-hosting | Docker, Docker Compose, npm, cloud providers | Docker Compose with PostgreSQL and Redis, or a Helm chart |
| Cloud billing unit | Workflow execution, one per full run | Credit, one per run; AI steps cost extra |
| Integrations (vendor's count) | 2,200+ in the integrations directory | 760+ pieces |
| Builder | Node graph | Step-by-step flow builder |
| Custom code | JavaScript or Python in the Code node | TypeScript inline in a flow |
| Extending it | Build a custom node | Write a piece, a TypeScript npm package |
| MCP | Built-in MCP server, plus MCP trigger and client nodes | Built-in MCP server on every plan, cloud or self-hosted |
The licence difference, precisely
Most comparisons stop at "Activepieces is open source and n8n isn't." That's roughly right, but both repos have more than one licence in them.
n8n. The LICENSE.md grants the Sustainable Use License to most of the code. The key limit: you may use or modify the software only for your own internal business purposes, or for non-commercial or personal use. You may give it to others only free of charge and for non-commercial purposes. Files with .ee in the name or directory aren't covered by that licence at all. Using them requires an n8n Enterprise licence.
Activepieces. The root LICENSE is MIT for everything outside packages/ee/ and packages/server/api/src/app/ee. The code in those two folders falls under the Activepieces Enterprise license, which requires a paid licence for production use. You may still copy and modify it for development and testing. The docs' licence page confirms it: the core is MIT, and enterprise features on a self-hosted instance need a licence.
What this means for you:
| Your situation | n8n | Activepieces |
|---|---|---|
| Internal automation for your own company | Permitted | Permitted |
| Embedding it in a product you sell | Needs a commercial agreement with n8n | MIT core allows it; enterprise features need a licence |
| Running managed instances for paying clients | Outside the Sustainable Use License | MIT core allows it |
| Procurement requires an OSI-approved licence | Doesn't qualify | The MIT core qualifies; the ee folders don't |
If you're an agency, an MSP, or a SaaS company that wants to ship automation inside its own product, this table is the decision. For internal use only, the licence barely matters, and the rest of this post does.
Where n8n is stronger
Workflow depth. n8n's node graph handles branching, merging, loops, and sub-workflows as first-class structure. On a canvas you can see a fifty-node workflow as a shape. A linear builder turns into a long scroll at that size.
Code. The Code node runs JavaScript or Python, once per run or once per item. For a data-cleanup step your team already knows how to write in Python, that settles the question.
Integration breadth. n8n's integrations directory lists 2,200+ entries. Its homepage separately cites 500+ pre-built integrations, so the directory is the wider count. Either number is well ahead of Activepieces' 760+. If a niche service matters to you, check both libraries before you commit.
AI agent plumbing. n8n works with MCP in both directions. Its built-in MCP server lets Claude, ChatGPT, or a coding agent build and run workflows on your instance. The MCP Server Trigger node turns a single workflow into its own MCP server. The MCP Client Tool node lets a workflow call external MCP servers.
Hosting options. The hosting docs cover Docker, Docker Compose, npm, and guides for AWS, Azure, Google Cloud, Hetzner, and others. Queue mode handles scaling past one instance.
Where Activepieces is stronger
The builder is easier to hand over. Flows read top to bottom as a list of steps. A marketer or ops lead can open one and follow it without learning what a node graph is. That's what decides whether automation stays with one engineer or spreads through the company.
Pieces are open, typed packages. Per the GitHub README, pieces are TypeScript npm packages, published to npmjs.com. They support hot reloading when you develop a piece locally. The homepage says every piece is MIT-licensed. A missing integration is a small TypeScript project you can also contribute back, not a feature request you wait on.
MCP is built in on every plan. Activepieces' MCP server lets an AI assistant build flows, manage tables, test automations, and debug failed runs in plain language. Its MCP page says this is free on every plan, cloud or self-hosted, and works with clients like Claude, Cursor, and Codex.
AI features are part of the product. Agents, tables, and a chat-based builder sit next to flows. You can drop an agent into a flow as a step and act on what it returns.
A more permissive licence. Covered above. For some buyers, this item alone decides it.
Billing: closer than you'd expect
This is where n8n vs Activepieces differs from Make vs n8n or Zapier vs n8n. Those comparisons turn on per-step against per-run billing. Here both tools bill per run.
| n8n Cloud | Activepieces Cloud | |
|---|---|---|
| Unit | Workflow execution | Credit |
| What one unit covers | One full run, however many steps or items | One run, however many steps |
| AI steps | Not metered by step | Extra credits per AI step, lower if you bring your own model keys |
| Free self-hosted edition | Community Edition | Community Edition |
| Paid self-hosted | Business and Enterprise, priced by executions | Paid tiers add access control, audit, Agents and Chat |
n8n's pricing page defines an execution as a single run of the entire workflow, however many steps it has or however much data it processes. Activepieces' pricing page says a run is one credit however many steps it has, with AI as the exception on top. A step on a larger model costs more credits than a step on a fast one, and connecting your own AI provider keys on paid plans brings each AI step back to one credit.
The practical difference: on Activepieces Cloud, AI-heavy flows cost more than plain ones. On n8n, you pay the model provider directly, and your n8n bill doesn't change.
Self-hosting changes the picture again. Activepieces' pricing FAQ says Community Edition is the automation core by itself. Paid tiers add who-can-access-what controls, change history, separation between teams and clients, and running Agents and Chat. With n8n's free Community Edition, SSO, log streaming, and external secrets still sit behind paid plans.
Deciding
| If this describes you | Pick |
|---|---|
| You resell automation, embed it in your product, or need an OSI licence | Activepieces |
| Engineers build and maintain everything | n8n |
| Non-engineers will build or edit flows | Activepieces |
| Your workflows are long and heavily branched | n8n |
| You need a niche integration today | Check both libraries; n8n's is larger |
| You'll write custom connectors in TypeScript | Activepieces |
| Your data team lives in Python | n8n |
If neither fits, n8n alternatives covers the rest of the category, including Node-RED and the managed cloud options.
When the workflow already exists somewhere
Both tools assume you're designing the automation yourself. Often you aren't. Someone already posted the thing you need: an agent, a Claude Code setup, a workflow in a repo. The hard part is getting it running on your machine, not wiring up triggers.
Taku is built for that case. It's an AI-native desktop workspace where you mirror an AI app, skill, or workflow someone already got working, run it, remix it for your own files, and keep it. It doesn't replace n8n or Activepieces for orchestrating SaaS apps on a server. Taku is in Beta, and the Mac app is available now. The free app library shows what mirroring looks like in practice.
FAQ
Is Activepieces fully open source?
Mostly. The core is MIT-licensed, and the homepage says every piece is MIT. Code under packages/ee/ and packages/server/api/src/app/ee falls under a commercial enterprise licence that requires a paid licence for production use.
Can I self-host n8n and use it commercially?
Yes, for your own internal business purposes. The Sustainable Use License doesn't let you sell n8n itself or offer it to others as a paid service. That needs a commercial agreement.
Which has more integrations?
n8n. Its integrations directory lists 2,200+ entries, against 760+ on Activepieces' own pages, as of September 2026. Both have a generic HTTP option for anything with an API.
Do both support MCP?
Yes. Each ships a built-in MCP server, so an AI client can build and run automations on your instance. n8n also has nodes that expose a workflow as an MCP server or call external MCP servers. Activepieces agents can use any MCP server you point them at.
Is Activepieces easier to learn than n8n?
For non-developers, generally yes. Its step-by-step builder is simpler to read than a node graph. n8n's advantage appears as workflows get longer and more technical.
Can I migrate workflows between n8n and Activepieces?
Neither vendor documents an importer for the other's format. Plan on rebuilding each flow by hand, and use the rebuild to check whether the other tool's builder actually suits the people who'll maintain it.