At a glance — how these 4 alternatives compare
Our read on each project's adoption, maintenance activity and commercial-use risk, derived from GitHub signals and SPDX license terms rather than star count alone. Sorted by stars. How we score.
| Project | Adoption | Maintenance | Commercial use |
|---|---|---|---|
| ★ 206,075 · TypeScript | Flagship | Active | High risk Non-OSI terms restrict commercial or hosted use — read first. Split licence — this rates the core component; read the † text for the separately licensed parts |
| ★ 49,998 · Ruby MIT | Flagship | Active | Low risk Embed in a proprietary product with no copyleft obligation |
| ★ 46,989 · Python Apache-2.0 | Flagship | Active | Low risk Embed in a proprietary product with no copyleft obligation |
| ★ 24,745 · TypeScript | Mainstream | Active | Low risk Embed in a proprietary product with no copyleft obligation. Split licence — this rates the core component; read the † text for the separately licensed parts |
† Licenses marked † were read from the repository's LICENSE file on 2026-09-05 (linked, pinned to the commit we read) because the GitHub API returned no SPDX id for them. Unmarked licenses are the GitHub API's SPDX classification.
The alternatives
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
n8n-io/n8n Updated 2026-09-27 huginn
Create agents that monitor and act on your behalf. Your agents are standing by!
huginn/huginn Updated 2026-09-26 airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
apache/airflow Updated 2026-09-27 AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
activepieces/activepieces Updated 2026-09-26 Editor's take
Yusuke Morinaga · last revisited · star counts quoted in the text (≈) are as of that date; the cards above are refreshed daily
Only one of these four is actually a Zapier replacement. The other three solve adjacent problems people mistake for it.
This is the list where the star counts are most misleading, so let me say it plainly: of the four projects below, only n8n is genuinely a Zapier replacement. The other three are excellent tools that get filed under “Zapier alternative” because they also “do automation” — but Huginn, Airflow, and Activepieces solve adjacent problems, and picking one of them expecting Zapier will lead to weeks of fighting the wrong tool.
n8n — the actual answer
n8n (≈203.4k★ — the most of any project anywhere on this site, by a wide
margin) is the self-hosted Zapier. Visual workflow builder, 400+ integrations,
trigger-action Zaps with the crucial addition that you can drop into
JavaScript expressions when the no-code path runs out. The headline win is
economic: Zapier charges per task, and a busy automation can get expensive
fast; self-hosted n8n removes the per-task meter entirely. The license is the
one nuance to understand — the GitHub API returns no SPDX id because n8n uses
a “fair-code” Sustainable Use License 1.0, not a classic open-source
license (that is what the card shows, read from its LICENSE; .ee. files are
under a separate n8n Enterprise License).
For internal company automations this is fine; you may not, however, host n8n
as a competing automation service you sell. Read the license before you
build a product on it; for replacing your own Zaps, it is exactly right.
Huginn — for monitoring and scraping, not API-to-API glue
Huginn (≈49.9k★, Ruby, MIT) is a wonderful tool aimed at a different target: agents that watch things (a web page, a feed, a price) and act when they change. If your Zapier usage was “ping me when this website updates” or “scrape this and email me,” Huginn is arguably better than Zapier was. If your Zapier usage was “when a Typeform comes in, create a row and post to Slack,” Huginn’s configuration model is far more involved than n8n’s visual editor for that, and you will be happier with n8n. MIT-licensed, the cleanest terms here.
Airflow — a data-pipeline orchestrator wearing the wrong label
Airflow (≈46.7k★, Python, Apache-2.0) is industrial-grade, but it is built for scheduled batch data pipelines — DAGs that run nightly ETL, not webhook-triggered “when X happens, do Y” automations. It is a poor direct substitute for event-driven Zapier workflows, and using it as one means bending a batch scheduler into a real-time shape it resists. Apache-2.0 and genuinely best-in-class — for the job it is actually for, which is not this one. If your “Zaps” were really nightly data jobs, Airflow is the right tool and Zapier was the wrong one all along.
Activepieces — the legitimate runner-up to n8n
Activepieces (≈24.3k★, TypeScript, MIT core) is the one other project
here that is aiming at the Zapier niche — visual no-code automation, with a
strong recent lean into AI agents and MCP. It is a reasonable n8n alternative,
particularly if its AI-workflow direction matches where you are headed. The
honest reason to default to n8n instead is ecosystem maturity: n8n’s far
larger community means more pre-built integrations and more answers when a
workflow breaks at 2am. The GitHub API returns no SPDX id for it either; the
LICENSE we read gives MIT for the core with packages/ee/ under a separate
licence — so the core is more permissive than n8n’s, but read the split
before reselling.
The bottom line
Replacing Zapier’s event-driven, multi-app glue: n8n, with Activepieces as the runner-up. Replacing “watch the web and alert me”: Huginn. Replacing scheduled data pipelines: Airflow — but that was never really Zapier. Match the tool to which of those you were actually doing.
Comparison notes
n8n self-hosted provides a visual workflow builder with JavaScript expression support and over 400 integrations, covering most Zapier use cases at no per-task cost but adding server maintenance overhead and a steeper initial setup than Zapier's fully managed service. Huginn is a Ruby-based agent automation system more aligned with web scraping and monitoring than API-to-API integrations, and has a significantly steeper configuration curve than n8n's visual editor. Apache Airflow is designed for batch data pipeline orchestration rather than real-time webhook-driven automation, making it a poor direct replacement for most Zapier event-triggered workflows.
Migration tips
- Audit your active Zaps and verify which triggers and actions n8n's integration library covers before committing to migration — most major SaaS webhooks are supported but niche integrations may require custom HTTP nodes.
- Self-host n8n using Docker with a PostgreSQL backend to support workflow execution history and production reliability beyond the default SQLite configuration limit.
- Test each migrated workflow manually and run parallel execution with Zapier for one week before disabling original Zaps to catch edge cases.
Which alternative should you pick?
Replacing Zapier isn't a single call — it's a trade between license terms, team size, and how much early-stage roughness you can absorb. The 4 projects above split along those lines:
- You want the project with the most GitHub stars in this list → n8n. 206,075★ — the most of the 4 projects here. Stars measure attention, not quality or maintenance; check the last-push date and the Editor's take before reading more into it.
- You ship commercial software and need to ship modified code without releasing source → huginn. MIT licensed — modify and embed without copyleft obligations.
- You want the project with the most recent push activity → airflow. Last push 2026-09-27 — the freshest activity in this list.
License & commercial-use notes
When replacing Zapier, the license usually decides more than the feature list — whether you can modify it, ship it inside a product, or host it as a service. The 4 projects here fall into:
- Permissive (huginn, airflow, activepieces) — MIT / Apache / BSD / ISC — modify and embed inside a commercial product with no copyleft obligation. The safest bucket for shipping in a proprietary codebase.
- Source-available (restricted) (n8n) — BUSL / Elastic / Polyform / Commons Clause — the source is public but commercial or hosted use is restricted by non-OSI terms. Read the license before any production or commercial use; these are not freely reusable the way an OSI-approved license is.
Split licences: n8n (Sustainable Use License 1.0 + n8n Enterprise License (.ee. files)); activepieces (MIT (core) + separate license for packages/ee/). These projects are grouped above by the core licence; the separately licensed directories (enterprise or EE parts) are not covered by that bucket — check which files you actually ship.
License fields come from the GitHub API's SPDX classification and can lag a relicense. Where the API returned no SPDX id, the license marked † was read from the repository's LICENSE file on 2026-09-05; the † links to the exact file and commit we read. The repository linked on each card is authoritative — confirm its LICENSE file before any license-sensitive deployment.
Maintenance health of these 4 projects
Of the 4 projects listed, 4 shipped at least one commit in the last 12 months. See how we rank for the full criteria and our self-hosting cost reality check, which apply across every comparison on this site.
Frequently asked questions
How do these 4 alternatives compare on maintenance health?
4 of 4 have shipped a commit in the last 12 months. At least one project here has 5,000+ GitHub stars. Always check the last-pushed date in the cards above and read the latest closed issues — those two signals are the fastest public check we know of.
How this page was compiled
- Repository facts (stars, license, language, last push) come straight from the GitHub public API and are linked on each card as the primary source. Where the API returned no SPDX id, the licence marked † was read from the repository's
LICENSEfile (linked, pinned to the commit we read, with the date checked). - Editorial analysis (the intro, comparison notes and migration tips) is Claude-drafted from Zapier's use case and the alternatives' repository metadata — in Claude Code sessions or scheduled routines run under the operator's account. Samples are spot-checked against the upstream repositories; entries are not individually reviewed unless they carry a signature. See what Claude drafts and what the operator writes.
- Editor's take is signed by Yusuke Morinaga. It was drafted in a Claude Code session the operator ran, then read and confirmed by Yusuke Morinaga before publication, and carries the date it was last revised. It is written from each project's README, LICENSE, release history and issue tracker — not from running the project in production; where that distinction matters, the take says so.
- Maintenance signal: 4 of 4 projects shipped a commit in the last 12 months as of the latest rebuild (most recent activity: ).
- Last editorial review: by Yusuke Morinaga.
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