head to head · open source
PageIndex vs dingo
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. dingo has 1,704 stars, 264 forks, 8 open issues and last shipped 2 months ago. PageIndex leads on adoption by 1,999% (35,765 vs 1,704 stars). PageIndex is written in Python under MIT; dingo is written in Java under Apache-2.0. PageIndex has attracted 9% as many forks as stars, dingo 15%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (vector-database), 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 | dingo | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 1.7K |
| License | MIT | Apache-2.0 |
| Written in | Python | Java |
| Last push | 2026-09-19 | 2026-07-10 |
| Forks | ⑂ 3.2K | ⑂ 264 |
| 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 dingo if
- You want the dingo feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Java
- You evaluated both and dingo 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 dingo
DingoDB is an Apache 2.0 licensed, Java based distributed multi modal vector database from DataCanvas that unifies relational and vector semantics behind a MySQL compatible SQL interface, built for teams that need hybrid scalar and vector queries over structured and unstructured data at high concurrency and ultra low latency.
read the full dingo overview →
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Frequently asked questions
Is PageIndex or dingo more popular?
PageIndex has 35,765 GitHub stars and dingo has 1,704. PageIndex has the larger community by that measure.
Are PageIndex and dingo free?
Both are open source. PageIndex is licensed under MIT and dingo under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and dingo?
PageIndex is written in Python and dingo in Java. 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 dingo?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose dingo if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.