compare / activepieces
GoRunner vs Activepieces
Activepieces made piece-based automation approachable and gave it away under MIT. GoRunner is for the moment your automation becomes infrastructure: when speed, per-run pricing, and step-level observability start to matter.
| Capability | GoRunner | Activepieces |
|---|---|---|
| Execution engine | Compiled Go engine; in-process step scheduling | TypeScript engine; workers and queue-based execution |
| 1,000-step flow, end to end | 0.9s (illustrative, internal testing) | 3.4s (illustrative, same harness) |
| Building flows | Visual canvas plus GoRunner AI: builds whole flows and edits them by chat | Clean visual builder with an AI copilot for piece suggestions |
| Pricing model | Per run: a 12-step flow firing once is one unit | Per task: each executed step meters against your plan |
| Open source | No. Commercial software, stated plainly | MIT-licensed core with community pieces, a genuine reason to choose it |
| Piece ecosystem | 600+ first-party pieces, contract-tested nightly | Hundreds of pieces, community-contributed in TypeScript |
| Custom integrations | HTTP piece and REST API + webhooks; no code runtime to maintain | Write your own piece in TypeScript, good if you want that workflow |
| Observability | Step-level logs, replay with diff, alerts and latency budgets built in | Run history and retries; deeper debugging is roadmap territory |
| Self-hosting | Enterprise plan: one static binary, Helm chart, air-gap support | Free to self-host under MIT; you operate the stack |
Performance rows are illustrative from internal testing; public benchmarks ship with methodology. Competitor details reflect public documentation at the time of writing.
When Activepieces is the right call
If MIT licensing is the deciding factor, or your team wants to write its own pieces in TypeScript, Activepieces is a good choice. GoRunner wins on raw execution speed, a pricing model that does not meter every step, a deeper piece catalog with nightly contract tests, and an AI that builds and edits whole flows.
Same canvas idea. Different engine.
Bring one task-hungry flow over and watch what it costs as a single run.
Free plan · 1,000 runs a month · self-host or cloud