head to head · open source

Agenta vs datachain

Agenta has 4,766 GitHub stars, 674 forks, 309 open issues and last shipped today. datachain has 2,820 stars, 157 forks, 101 open issues and last shipped today. Agenta leads on adoption by 69% (4,766 vs 2,820 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 14% 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.

Agenta ★ 4.8K datachain ★ 2.8K category AI & Machine Learning

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Side by side

Agenta datachain
GitHub stars ★ 4.8K ★ 2.8K
License Custom / other Apache-2.0
Written in TypeScript Python
Last push 2026-09-20 2026-09-20
Forks ⑂ 674 ⑂ 157
Self-hosting Yes Yes
Data ownership Your server Your server

pick Agenta if

  • You weight community size — 4.8K stars and counting
  • You want the Custom / other license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full Agenta profile →

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

full datachain profile →

About Agenta

Agenta is an open source workspace where a team builds, runs, and improves AI agents by chatting with them, intended for individuals and teams that want agent automation without moving every task onto metered API billing.

read the full Agenta overview →

About datachain

DataChain is an Apache 2.0 Python library that turns files in S3, GCS, and Azure into versioned, typed datasets queryable at warehouse speed, and it is built for data and machine learning teams handling unstructured data as well as for the AI coding agents that operate on those datasets.

read the full datachain overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs anythingllm openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

Agenta vs Ollama Agenta vs llama.cpp Agenta vs vllm Agenta vs GPT4All Agenta vs llama_index Agenta vs LocalAI Agenta vs faiss Agenta vs PageIndex Agenta vs Langfuse Agenta vs cognee Agenta vs taipy Agenta vs dagster

Frequently asked questions

Is Agenta or datachain more popular?

Agenta has 4,766 GitHub stars and datachain has 2,820. 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 (4,766 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.