head to head · open source
Agenta vs datachain
Agenta has 4,891 GitHub stars, 725 forks, 309 open issues and last shipped yesterday. datachain has 2,830 stars, 178 forks, 101 open issues and last shipped yesterday. Agenta leads on adoption by 73% (4,891 vs 2,830 stars). Agenta is written in TypeScript under a custom or non-standard licence; datachain is written in Python under Apache-2.0. Agenta has attracted 15% as many forks as stars, datachain 6%. datachain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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
| Agenta | datachain | |
|---|---|---|
| GitHub stars | ★ 4.9K | ★ 2.8K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-11-04 | 2026-11-04 |
| Forks | ⑂ 725 | ⑂ 178 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Agenta if
- You weight community size — 4.9K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick datachain if
- You want the datachain feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and datachain fits your workflow better
About Agenta
The open source workspace for building and running agents Build agents that automate your work by chatting with them. Share them with your team , connect them to the apps you use, and run them in the background . Documentation • Website • Agenta Cloud What is Agenta? Agenta is an open source workspace where you build specialized agents that automate and augment your work. You build agents by chatting with them. You describe the work, connect the apps they need, and improve them through feedback. You can work with your agents directly in chat and share them with your team. For recurring work, you can…
read the full Agenta overview →
About datachain
DataChain: The Context Layer for Unstructured Data A Python library that turns files in S3, GCS, and Azure into versioned, typed datasets, queryable at warehouse speed. Compute Engine : parallel Python over files, distributed on Studio. Async I/O, checkpoint recovery, incremental updates. Dataset DB : Pydantic schemas, versioning, file pointers, automatic lineage. Sub second filter, join, and group by over millions of typed records locally, hundreds of millions on Studio. Vector search over the same rows, no separate store. Optional, for agent workflows: Knowledge Base : markdown summaries derived from the…
read the full datachain overview →
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Frequently asked questions
Is Agenta or datachain more popular?
Agenta has 4,891 GitHub stars and datachain has 2,830. Agenta has the larger community by that measure.
Are Agenta and datachain free?
Both are open source. Agenta has no licence declared in this registry, and datachain is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Agenta and datachain?
Agenta is written in TypeScript and datachain 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, Agenta or datachain?
Choose Agenta if you want the larger community (4,891 stars) or its Custom / other licence terms. Choose datachain if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.