n8n vs Activepieces

The one thing that decides this in 30 seconds

If you asked one question and had to pick: does your team already write JSON expressions in their head? If yes, n8n. If no, Activepieces. The rest of this page is why.

How they actually differ

Both projects solve the same visible problem — chain apps together without writing a full backend. The philosophies underneath are different, and that's what shows up after week two.

n8n treats a workflow as a data pipeline. Everything is a node that receives JSON, transforms it, and passes it on. Its expression language (a limited JavaScript surface) is powerful and appears in almost every field once you leave the beginner path. This is either a feature or a wall depending on who's using it.

Activepieces treats a workflow as a series of actions. The UI is closer to Zapier's: pick a trigger, add steps, map fields with a dropdown. Expressions exist but the UI works hard to keep you out of them until you need one. This makes the first flow you build feel effortless, and the tenth flow feel like maybe you outgrew the tool. Depends on the tenth flow.

License: read this before you commit

Activepieces is MIT. Self-host, fork, embed in a product, resell — nobody stops you. Zero legal thinking required.

n8n uses the "Sustainable Use License" (fair-code). Practically: you can self-host it for your own company's internal automations and never think about it again. You cannot run it as a public SaaS competing with n8n Cloud. Middle path: for consulting agencies running client automations, the license explicitly permits this — check the terms.

For 95% of self-hosters this doesn't matter. For anyone considering embedding automation into a product they sell, Activepieces is the safer default.

Deploy difficulty in practice

Both ship an official docker-compose.yml. Both come up on a small VPS in under 10 minutes. Both want an external Postgres if you plan to survive the first "why is my database file locked" incident.

• n8n — official image, well-documented env vars, community deploy patterns for every major provider. The path from Docker Compose to Kubernetes is well-worn.
• Activepieces — same Docker-first story. Kubernetes chart exists but is younger. If your team already runs 200 microservices, either one fits. If your team runs three, neither is going to hurt.

Neither is meaningfully harder to deploy than the other. This is not the axis to decide on.

Integrations catalogue: numbers vs. quality

n8n publishes ~500 nodes plus a big community node ecosystem. Activepieces publishes ~280 pieces with a faster shipping cadence in 2026. The count matters less than the coverage of the specific app you need.

The right question isn't "which has more integrations." It's "does either have the integration I need, and is it maintained." Check both catalogues before you commit.

Both let you write custom code steps. n8n's custom node authoring is more mature. Activepieces' custom piece authoring is more approachable.

AI agents in 2026

This is where the two projects diverged noticeably in the last year.

Activepieces has committed to "AI agent builder" as a first-class surface — MCP support, tool-use blocks, agent memory. If the phrase "give the LLM these five tools and let it decide" describes your project, Activepieces has more purposeful shape here.

n8n treats AI as another integration category. There are LangChain nodes, LLM chain nodes, vector store nodes — all real, all working, all feeling slightly bolted-on. Fine for "call OpenAI as part of a workflow." Less shaped for "the AI drives the workflow."

Community signal

Both are actively developed. Both maintainers ship weekly. Both have healthy Discord communities where the maintainers actually show up. This is a two-horse race between two well-run open-source companies — not a mainstream project versus a hobbyist one.

Who should pick which

Pick n8n if

• Your team is technical or willing to learn a little JavaScript-flavoured expression syntax
• You need the largest possible integration catalogue and community-node ecosystem
• You're building complex, multi-branch workflows with heavy data transformation
• The Sustainable Use License doesn't affect your use case (internal automation only)

Pick Activepieces if

• Your primary users are marketers, ops, or founders — not developers
• You want a fully permissive (MIT) license with zero legal thinking
• AI-agent workflows are your main use case
• You'll be embedding the tool in a product you plan to distribute

What we'd do

If it's just you, self-hosting for your own automation needs, and you enjoy tinkering: n8n. Deeper toolkit, larger community, more solved problems on Stack Overflow when you get stuck.

If it's a small team where not everyone codes, or you plan to hand this tool to a non-technical operator: Activepieces. Its friction budget is smaller. That matters when the tool has to survive the second person using it.

Either way, spin up both in Docker for an hour. The one you keep open after the hour is the right answer.