Activepieces vs n8n: two open-source automation tools compared
Both are source-available and self-hostable, and they differ on licence, billing unit, and who they are built for. What that means for cost, maintenance, and how far each will take you.
Aymeric Zhuo10 min read
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Both are source-available automation platforms you can host yourself, and both offer a managed cloud if you would rather not. The interesting differences are the licence each ships under, what the cloud versions bill for, and which audience each is actually built around.
n8n is the more established and more technical, with a node editor that assumes some comfort with data structures and code. Activepieces is simpler and has moved firmly toward AI-centred building. Neither is a straightforward upgrade on the other.
Prices were checked against each vendor's pricing page in September 2026 and move often.
What we'll cover
Licensing, which matters more than it sounds
This is the first thing to check and the thing most comparisons skip.
n8n uses a sustainable-use licence rather than a conventional open-source one. You may use it freely internally, modify it, and self-host it. You may not sell it as a hosted service to others, and some enterprise features sit behind a commercial licence. For internal business automation this is rarely a constraint. For anyone intending to build a product on top of it, read the licence properly before designing anything.
Activepieces is MIT-licensed at its core, which is a genuine permissive open-source licence, with some enterprise features held separately. That matters if you want to embed automation in something you sell, or if your organization has a policy about which licences it will accept.
If you are automating your own internal processes, neither licence will trouble you. If automation is going to be part of a product, this difference can decide the choice on its own, and it is much cheaper to discover now than after six months of building.
What each cloud version costs
The two price on different units, which produces different bills for the same work.
n8n bills by workflow execution, regardless of complexity. Starter is £20 a month billed annually for 2,500 executions with unlimited steps and five concurrent executions. Pro is £50 a month billed annually for 10,000 executions with twenty concurrent and three shared projects. Every plan includes unlimited users, unlimited workflows, and every integration. Annual billing saves 17%.
That execution-based model is n8n's strongest commercial argument. A workflow with forty steps costs the same as one with three. Where competitors charge per step, elaborate automation gets expensive; here it does not.
Activepieces bills by credit. Free gives 100 credits a day with unlimited flows. Plus is $20 flat a month for three times the free allowance with no daily cap and up to five users, and lets you bring your own AI keys. Team is $200 flat a month for five times Plus, 25 users, SSO, and global connections. Beyond that, usage is charged at roughly $0.007 a credit.
The flat-rate framing is deliberate and the daily cap on the free tier is the detail to notice: 100 credits a day does not accumulate into 3,000 a month, so a bursty workload hits the ceiling on its busy days while looking comfortable on average.
For steady high volume with complex workflows, n8n's per-execution pricing is usually the cheaper of the two. For lighter, AI-heavy work with a small team, Activepieces at $20 flat is straightforward and predictable.
The same workload, priced both ways
A 15-step workflow running 2,000 times a month. n8n: 2,000 executions, inside Starter at £20 billed annually, and the fifteen steps cost nothing extra. Activepieces: the credit consumption depends on what those steps do, and fifteen steps across 2,000 runs will move past the Plus allowance into pay-as-you-go. n8n is clearly cheaper for step-heavy work, which is the case its pricing was designed for.
A 3-step workflow running 8,000 times a month. n8n: 8,000 executions needs Pro at £50 billed annually. Activepieces: fewer credits per run makes this far more comfortable on Plus at $20. Activepieces wins on simple, high-frequency work, because n8n counts the run whether it did three things or thirty.
Bursty work: quiet most days, 400 runs on a Monday. This is where Activepieces' free tier misleads. 100 credits a day does not bank into a monthly allowance, so the Monday fails while the monthly average looks fine. n8n's monthly execution allowance absorbs the burst, and its concurrency limit — five on Starter, twenty on Pro — is the thing to check instead.
Roughly: n8n rewards complexity, Activepieces rewards simplicity and frequency, which is a cleaner split than most comparisons in this category offer. Count your steps and your runs and the answer usually falls out.
Self-hosting, honestly
Both can run on your own infrastructure at no licence cost, and the cost moves rather than disappearing.
What you take on is the same for either: a server, a database, updates, backups, monitoring, and someone to restore it when it stops. A modest VPS runs a few dollars a month. The engineering time does not, and it is the real number. Two hours a month of a developer's time at a fully loaded rate exceeds both cloud plans above.
n8n's self-hosted deployment is the more mature and the more documented, with a large community and many people who have solved whatever you are about to hit. It is also the heavier of the two to run, and queue mode for scaling introduces real operational complexity.
Activepieces is lighter to stand up and simpler to keep running, with a correspondingly smaller community when something goes wrong.
The honest test is whether someone already runs servers as part of their job. If yes, self-hosting either is reasonable and genuinely cheap at volume. If not, the maintenance will land on whoever set it up, in addition to their actual work, and that arrangement tends to end with a migration back to a cloud plan a year later.
Building in each
n8n's node editor is visual with code available where you need it. Nodes connect on a canvas, and Code nodes let you drop into JavaScript or Python for anything the built-in nodes cannot express. Data flows between nodes as structured items, and understanding that structure is the thing that separates people who find n8n powerful from people who find it frustrating. It rewards technical users substantially.
Activepieces is deliberately simpler, and has moved toward AI-first building: describing what you want in chat, alongside the visual flow builder, with agents and tables as first-class concepts. The learning curve is gentler and the ceiling is lower.
Neither removes the underlying work of translating a process into a tool's vocabulary, which is where most build time actually goes. That translation is what conversational building removes rather than eases: on CodeWords you describe the process in plain language and Cody, the automation builder, builds it, connects it to your systems, and deploys it, with more than 3,000 integrations available. The free plan covers light use, with Pro at $39 per month and Business at $100 per month as usage grows; details are on the pricing page.
Integrations and extending them
n8n ships several hundred built-in nodes and, importantly, a generic HTTP Request node that reaches anything with an API. In practice that means the catalog size matters less than it appears, because a missing integration is a documented API call away rather than a blocker. Custom nodes can be written and shared.
Activepieces has a smaller catalog of pieces, many community-contributed, and a framework for writing your own in TypeScript. It also reaches arbitrary APIs through HTTP.
For either, the practical check is the same and takes ten minutes: list the three to five systems your process genuinely touches and confirm each is covered, rather than comparing headline catalog numbers that neither of you will use.
Which to choose
n8n if your team is technical, if your workflows are complex enough that per-execution pricing saves real money, if you want the larger community and the more mature self-hosted deployment, or if you need code inside your automations.
Activepieces if you want a permissive MIT licence, if the people building are less technical, if your automation is AI-centred, or if you want the lighter thing to self-host.
Neither if nobody on the team wants to own infrastructure and the workflows are ordinary business processes. The open-source saving is real only when the maintenance is genuinely free to you, and it is free only when someone is already doing that work.
Frequently asked questions
Is n8n actually open source?
Not under the standard definition. Its sustainable-use licence permits internal use, modification, and self-hosting, while restricting selling it as a hosted service. Activepieces is MIT at its core, which is a conventional permissive licence. For internal automation the distinction rarely bites; for building a product on top, it decides things.
Which is cheaper to self-host?
Both cost the same in hosting, which is a small VPS. Activepieces is lighter and simpler to maintain, so it is usually cheaper in the cost that actually matters, which is somebody's time.
Does the n8n free tier exist?
The self-hosted community edition is free to run yourself. The cloud has a trial rather than a permanent free tier, with paid plans from £20 a month billed annually. Activepieces does offer a permanent free cloud tier at 100 credits a day.
Which handles AI workflows better?
Activepieces has oriented its recent product around AI, with agents, chat-based building, and bring-your-own-keys on the Plus plan. n8n has AI and agent nodes too, within a more general-purpose tool. If AI is the centre of the work, Activepieces is the more focused; if it is one step among many, n8n handles it comfortably.
Can I migrate between them?
Not automatically. Each stores workflows in its own format, so moving means rebuilding. Documenting each workflow as logic rather than configuration is what makes the rebuild quick, and it is worth doing regardless of whether you ever migrate.
How many concurrent executions do I need?
Fewer than people assume, unless your triggers arrive in bursts. n8n's Starter allows five and Pro twenty, which covers most business automation. The number matters when a batch job fires many runs at once, which is the moment to check it rather than at purchase.
Which has better documentation?
n8n, by a clear margin, and it has the larger community as well. Whatever problem you hit with n8n, somebody has almost certainly written about it. Activepieces' documentation is decent and its community is smaller, which matters most at the moment something breaks and you need an answer quickly.
Do I need Docker to self-host either?
It is the usual route for both, and both publish container images with compose files to get started. You will also need somewhere to run it, a database, and a plan for backups. If none of those phrases are familiar, the cloud plans are the honest recommendation rather than a compromise.
Can either run workflows on a schedule?
Yes, both support scheduled triggers alongside webhooks and polling. On the cloud plans a scheduled run consumes an execution or credits exactly as any other run does, which is worth remembering before setting something to run every minute.
Which is better if I want to write code inside my workflows?
n8n. Its Code nodes take JavaScript or Python and are a first-class part of the product rather than an escape hatch, which is a large part of why technical teams prefer it. Activepieces supports custom pieces written in TypeScript, which is a heavier lift than dropping a few lines into a node.
Is there a managed option that avoids this trade-off entirely?
Both cloud plans are exactly that, and the question worth asking is what you are actually buying with the open-source route. If it is cost at high volume with existing infrastructure, self-hosting delivers. If it is control over your data, the cloud plans of either may already satisfy your requirements once you read them. If it is avoidance of vendor lock-in, note that neither format ports to the other anyway, so the lock-in is to a workflow definition rather than to a hosting choice.