n8n vs Activepieces: Open-Source Automation Head to Head
n8n
Open-source workflow automation with native AI nodes and full self-hosting support.
Activepieces
Open-source workflow automation built for growing teams.
Verdicts by Task
Native AI nodes and agent patterns are production-proven; Activepieces is still building this muscle.
Mind the n8n 2.0 upgrade — community nodes need 2.0-compatible releases before you migrate.
MIT-licensed core passes OSS policy reviews that n8n's fair-code license fails.
Verify the specific pieces you need are in the MIT core, not the enterprise edition.
Queue mode, workers, and a larger operational knowledge base make scaling predictable.
Activepieces is closing the gap release by release — revisit if their roadmap lands.
Feature Comparison
| Dimension | n8n | Activepieces |
|---|---|---|
| AI-native | AI-Powered | AI-Powered |
| Self-hosting | Mature: Docker, Kubernetes, queue mode for scale | Solid Docker story; fewer battle-tested scale patterns |
| AI capabilities | Native AI nodes, agent workflows, LangChain integration | AI pieces available but the catalog is thinner |
| Integration library | 500+ nodes plus community catalog (verify 2.0 compatibility) | Growing piece library; easier piece-authoring framework |
| License | Fair-code (Sustainable Use License) — restrictions on commercial hosting | MIT core — genuinely open source |
| Ease of use | Developer-leaning; powerful but denser UI | Cleaner non-technical builder experience |
n8n wins for production-grade self-hosting
n8n wins decisively on AI workflow depth
n8n wins on count; Activepieces wins on contribution ease
Activepieces wins for teams with strict OSS-license policies
Activepieces wins for mixed technical/non-technical teams