head to head · open source
Airbyte vs riko
Airbyte has 22,303 GitHub stars, 5,431 forks, 2,395 open issues and last shipped yesterday. riko has 1,605 stars, 75 forks, 25 open issues and last shipped yesterday. Airbyte leads on adoption by 1,290% (22,303 vs 1,605 stars). Airbyte is written in Python under a custom or non-standard licence; riko is written in Python under MIT. Airbyte has attracted 24% as many forks as stars, riko 5%. 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, 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 | riko | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 1.6K |
| License | Custom / other | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 5.4K | ⑂ 75 |
| 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 riko if
- You want the riko feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and riko 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 riko
riko: composable stream processing for Python ============================================= .. contents:: :local: :depth: 2 Introduction riko is a pure Python library for building data processing streams . riko combines reusable, configuration driven modular pipes with synchronous , asynchronous , and parallel execution APIs. It is particularly useful for processing RSS feeds, web content, text, and structured files. riko also supplies a command line interface for executing flows , i.e., stream processors aka pipelines . Requirements & Installation riko has been tested and is known to work on Python 3.12, 3.13…
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Frequently asked questions
Is Airbyte or riko more popular?
Airbyte has 22,303 GitHub stars and riko has 1,605. Airbyte has the larger community by that measure.
Are Airbyte and riko free?
Both are open source. Airbyte has no licence declared in this registry, and riko is licensed under MIT. Both are free to self-host.
What is the difference between Airbyte and riko?
Airbyte is written in Python and riko in Python. 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 riko?
Choose Airbyte if you want the larger community (22,303 stars) or its Custom / other licence terms. Choose riko if its feature set, stack or MIT licence fits better. Both are self-hostable.