head to head · open source

PageIndex vs dingo

PageIndex has 39,973 GitHub stars, 3,442 forks, 103 open issues and last shipped 2 days ago. dingo has 1,705 stars, 263 forks, 8 open issues and last shipped 6 days ago. PageIndex leads on adoption by 2,244% (39,973 vs 1,705 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.

PageIndex ★ 40K dingo ★ 1.7K category AI & Machine Learning

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Side by side

PageIndex dingo
GitHub stars ★ 40K ★ 1.7K
License MIT Apache-2.0
Written in Python Java
Last push 2026-11-03 2026-10-30
Forks ⑂ 3.4K ⑂ 263
Self-hosting Yes Yes
Data ownership Your server Your server

pick PageIndex if

  • You weight community size — 40K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full PageIndex profile →

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

full dingo profile →

About PageIndex

PageIndex: Vectorless, Reasoning based RAG Reasoning based RAG ◦ No Vector DB, No Chunking ◦ Context Aware Retrieval ◦ Reads Like a Human 🌐 Website • ☁️ Cloud • 📖 Docs • 📝 Blog • ✉️ Contact Updates [Aug '26] 🔥 PageIndex SDK : pip install U pageindex now ships local mode : index, retrieve, and chat entirely on your machine with your own LLM key, or point the same client at PageIndex Cloud with an API key. [Aug '26] ⚡ PageIndex Flash : fast tree index generation for text based PDFs, now the default indexing method in PageIndex SDK local mode. Scale PageIndex to Millions of Documents: PageIndex File System is a…

read the full PageIndex overview →

About dingo

DingoDB DingoDB is an open source distributed multi modal vector database independently designed and developed by DataCanvas, which integrates real time strong consistency, relational semantics, and vector semantics into a unified platform, DingoDB positioning itself as a distinctive multi modal database solution. With exceptional horizontal scalability and elastic scaling capabilities, it effortlessly meets enterprise grade high availability requirements. Furthermore, DingoDB offers extensive multi language interfaces and seamless compatibility with the MySQL protocol, delivering unparalleled flexibility and…

read the full dingo overview →

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Frequently asked questions

Is PageIndex or dingo more popular?

PageIndex has 39,973 GitHub stars and dingo has 1,705. 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 (39,973 stars) or its MIT licence terms. Choose dingo if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.