head to head · open source
Airbyte vs go-streams
Airbyte has 22,303 GitHub stars, 5,431 forks, 2,395 open issues and last shipped yesterday. go-streams has 2,177 stars, 173 forks, 11 open issues and last shipped 10 months ago. Airbyte leads on adoption by 924% (22,303 vs 2,177 stars). Airbyte is written in Python under a custom or non-standard licence; go-streams is written in Go under MIT. Airbyte has attracted 24% as many forks as stars, go-streams 8%. 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, 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 | go-streams | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 2.2K |
| License | Custom / other | MIT |
| Written in | Python | Go |
| Last push | 2026-11-02 | 2026-01-14 |
| Forks | ⑂ 5.4K | ⑂ 173 |
| 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 go-streams if
- You want the go-streams feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and go-streams 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 go-streams
go streams go streams provides a lightweight and efficient stream processing framework for Go. Its concise DSL allows for easy definition of declarative data pipelines using composable sources, flows, and sinks. Wiki) In computing, a pipeline, also known as a data pipeline, is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time sliced fashion. Some amount of buffer storage is often inserted between elements. Overview The core module has no external dependencies and provides three…
read the full go-streams overview →
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Frequently asked questions
Is Airbyte or go-streams more popular?
Airbyte has 22,303 GitHub stars and go-streams has 2,177. Airbyte has the larger community by that measure.
Are Airbyte and go-streams free?
Both are open source. Airbyte has no licence declared in this registry, and go-streams is licensed under MIT. Both are free to self-host.
What is the difference between Airbyte and go-streams?
Airbyte is written in Python and go-streams in Go. 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 go-streams?
Choose Airbyte if you want the larger community (22,303 stars) or its Custom / other licence terms. Choose go-streams if its feature set, stack or MIT licence fits better. Both are self-hostable.