head to head · open source
Airbyte vs metorikku
Airbyte has 22,303 GitHub stars, 5,431 forks, 2,395 open issues and last shipped yesterday. metorikku has 589 stars, 155 forks, 65 open issues and last shipped 2 months ago. Airbyte leads on adoption by 3,687% (22,303 vs 589 stars). Airbyte is written in Python under a custom or non-standard licence; metorikku is written in Scala under MIT. Airbyte has attracted 24% as many forks as stars, metorikku 26%. Airbyte was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (etl), 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
| Airbyte | metorikku | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 589 |
| License | Custom / other | MIT |
| Written in | Python | Scala |
| Last push | 2026-11-02 | 2026-09-01 |
| Forks | ⑂ 5.4K | ⑂ 155 |
| 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
pick metorikku if
- You want the metorikku feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Scala
- You evaluated both and metorikku fits your workflow better
About Airbyte
Open source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications We believe that only an open source solution to data movement can cover the long tail of data sources while empowering data engineers to customize existing connectors. Our ultimate vision is to help you move data from any source to any destination — whether that destination is a data warehouse, a data lake, or an AI agent. Airbyte provides a catalog of 600+ connectors for APIs, databases, data warehouses, data lakes, and AI applications. Screenshot taken from Airbyte Cloud . Pick the…
read the full Airbyte overview →
About metorikku
Metorikku is a library that simplifies writing and executing ETLs on top of Apache Spark. It is based on simple YAML configuration files and runs on any Spark cluster. The platform also includes a simple way to write unit and E2E tests. Getting started To run Metorikku you must first define 2 files. Metric file A metric file defines the steps and queries of the ETL as well as where and what to output. For example a simple configuration YAML (JSON is also supported) should be as follows: yaml metric: "/path/to/metric" mocks: name: table 1 path: mocks/table 1.jsonl tests: df2: id: 200 name: test id: 300 name…
read the full metorikku overview →
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Frequently asked questions
Is Airbyte or metorikku more popular?
Airbyte has 22,303 GitHub stars and metorikku has 589. Airbyte has the larger community by that measure.
Are Airbyte and metorikku free?
Both are open source. Airbyte has no licence declared in this registry, and metorikku is licensed under MIT. Both are free to self-host.
What is the difference between Airbyte and metorikku?
Airbyte is written in Python and metorikku in Scala. 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 metorikku?
Choose Airbyte if you want the larger community (22,303 stars) or its Custom / other licence terms. Choose metorikku if its feature set, stack or MIT licence fits better. Both are self-hostable.