head to head · open source
PageIndex vs datachain
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. datachain has 2,820 stars, 157 forks, 101 open issues and last shipped today. PageIndex leads on adoption by 1,168% (35,765 vs 2,820 stars). PageIndex is written in Python under MIT; datachain is written in Python under Apache-2.0. PageIndex has attracted 9% 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
| PageIndex | datachain | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 2.8K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-19 | 2026-09-20 |
| Forks | ⑂ 3.2K | ⑂ 157 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PageIndex if
- You weight community size — 36K stars and counting
- You want the MIT license terms
- Your stack matches Python
- 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 PageIndex
PageIndex is a vectorless, reasoning based retrieval augmented generation engine written in Python and released under the MIT license. It lives in the AI and machine learning infrastructure ecosystem, with topics spanning RAG, information retrieval, LLM reasoning, context engineering, and agentic AI. Instead of building a vector index, PageIndex generates a hierarchical tree index for each document and then lets a large language model reason its way through that tree, in the same way a human expert turns to the right section of a long report. The project ships as a Python SDK, a hosted cloud service, and a docume…
read the full PageIndex 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 →
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Frequently asked questions
Is PageIndex or datachain more popular?
PageIndex has 35,765 GitHub stars and datachain has 2,820. PageIndex has the larger community by that measure.
Are PageIndex and datachain free?
Both are open source. PageIndex is licensed under MIT and datachain under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and datachain?
PageIndex is written in Python 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, PageIndex or datachain?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose datachain if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.