head to head · open source
airflow vs helix-foundry
airflow has 47,301 GitHub stars, 18,202 forks, 1,831 open issues and last shipped yesterday. helix-foundry has 1,683 stars, 257 forks, 8 open issues and last shipped yesterday. airflow leads on adoption by 2,711% (47,301 vs 1,683 stars). airflow is written in Python under Apache-2.0; helix-foundry is written in TypeScript under Apache-2.0. airflow has attracted 38% as many forks as stars, helix-foundry 15%. helix-foundry was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (data-integration), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| airflow | helix-foundry | |
|---|---|---|
| GitHub stars | ★ 47K | ★ 1.7K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-10-28 | 2026-10-28 |
| Forks | ⑂ 18K | ⑂ 257 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick airflow if
- You weight community size — 47K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick helix-foundry if
- You want the helix-foundry feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and helix-foundry fits your workflow better
About airflow
Apache Airflow Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows (Dags) that orchestrate tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on Dags a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when…
read the full airflow overview →
About helix-foundry
Helix Foundry Connect your company's data, let an agent draft an ontology over it, and load it into HelixDB as one connected graph you can explore and ask questions of. Connect PostgreSQL, MySQL, Amazon S3, Stripe, PostHog, WorkOS, GitHub, Linear, Granola and Cal.com, and upload documents (Markdown, text, PDF) and table files (CSV, TSV, JSON, JSON Lines, Parquet). An agent drafts the ontology: types, links, the tables and documents each comes from, and rules. You review it, edit it and make a version current. A load writes the version into HelixDB. Explore it as a graph or as records, follow every value back to…
read the full helix-foundry overview →
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Frequently asked questions
Is airflow or helix-foundry more popular?
airflow has 47,301 GitHub stars and helix-foundry has 1,683. airflow has the larger community by that measure.
Are airflow and helix-foundry free?
Both are open source. airflow is licensed under Apache-2.0 and helix-foundry under Apache-2.0. Neither carries a licence fee.
What is the difference between airflow and helix-foundry?
airflow is written in Python and helix-foundry in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, airflow or helix-foundry?
Choose airflow if you want the larger community (47,301 stars) or its Apache-2.0 licence terms. Choose helix-foundry if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.