head to head · open source
PageIndex vs Helicone
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. Helicone has 6,165 stars, 672 forks, 156 open issues and last shipped 4 days ago. PageIndex leads on adoption by 480% (35,765 vs 6,165 stars). PageIndex is written in Python under MIT; Helicone is written in TypeScript under Apache-2.0. PageIndex has attracted 9% as many forks as stars, Helicone 11%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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 | Helicone | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 6.2K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-09-19 | 2026-09-16 |
| Forks | ⑂ 3.2K | ⑂ 672 |
| 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 Helicone if
- You want the Helicone feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and Helicone 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 Helicone
Helicone is an open source AI gateway and LLM observability platform for AI engineers who need to monitor, evaluate, and experiment with applications built on large language models.
read the full Helicone overview →
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Frequently asked questions
Is PageIndex or Helicone more popular?
PageIndex has 35,765 GitHub stars and Helicone has 6,165. PageIndex has the larger community by that measure.
Are PageIndex and Helicone free?
Both are open source. PageIndex is licensed under MIT and Helicone under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and Helicone?
PageIndex is written in Python and Helicone in TypeScript. 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 Helicone?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose Helicone if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.