head to head · open source

Airbyte vs zerocode

Airbyte has 22,082 GitHub stars, 5,350 forks, 2,395 open issues and last shipped yesterday. zerocode has 1,014 stars, 453 forks, 128 open issues and last shipped 6 days ago. Airbyte leads on adoption by 2,078% (22,082 vs 1,014 stars). Airbyte is written in Python under a custom or non-standard licence; zerocode is written in Java under Apache-2.0. Airbyte has attracted 24% as many forks as stars, zerocode 45%. Airbyte was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (data-pipeline, java), 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.

Airbyte ★ 22K zerocode ★ 1.0K category Data & Analytics

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Side by side

Airbyte zerocode
GitHub stars ★ 22K ★ 1.0K
License Custom / other Apache-2.0
Written in Python Java
Last push 2026-09-17 2026-09-12
Forks ⑂ 5.3K ⑂ 453
Self-hosting Yes Yes
Data ownership Your server Your server

pick Airbyte if

  • You weight community size — 22K stars and counting
  • You want the Custom / other license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Airbyte profile →

pick zerocode if

  • You want the zerocode feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Java
  • You evaluated both and zerocode fits your workflow better

full zerocode profile →

About Airbyte

Airbyte open source data movement project. It lives in data engineering and data integration ecosystem. It moves data from APIs, databases, and files into warehouses, data lakes, and AI applications. It supports ELT and ETL pipelines. It also supports AI agents needing business data.

read the full Airbyte overview →

About zerocode

Zerocode (zerocode tdd) is a community developed, free and open source, outcome driven automated testing framework for data pipelines, ETL, REST and SOAP APIs, Kafka data streams, databases and load scenarios, in which every test is defined in simple JSON or YAML with zero coding, and it is aimed at developers, testers and data engineers who need executable automated tests without writing test code.

read the full zerocode overview →

More in Data & Analytics

Mermaid ★ 90K Crawl4AI ★ 84K Scrapling ★ 82K Apache Superset ★ 75K echarts ★ 67K scrapy ★ 64K

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Compare either of these against the rest of the Data Engineering & Integration field.

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Frequently asked questions

Is Airbyte or zerocode more popular?

Airbyte has 22,082 GitHub stars and zerocode has 1,014. Airbyte has the larger community by that measure.

Are Airbyte and zerocode free?

Both are open source. Airbyte has no licence declared in this registry, and zerocode is licensed under Apache-2.0. Both are free to self-host.

What is the difference between Airbyte and zerocode?

Airbyte is written in Python and zerocode in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Airbyte or zerocode?

Choose Airbyte if you want the larger community (22,082 stars) or its Custom / other licence terms. Choose zerocode if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.