head to head · open source
llama_index vs Grepture
llama_index has 52,202 GitHub stars, 8,162 forks, 770 open issues and last shipped yesterday. Grepture has 8 stars, 0 forks, 0 open issues and last shipped 23 days ago. llama_index leads on adoption by 652,425% (52,202 vs 8 stars). llama_index is written in Python under MIT; Grepture is written in TypeScript under AGPL-3.0. llama_index has attracted 16% as many forks as stars, Grepture 0%. llama_index was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| llama_index | Grepture | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 8 |
| License | MIT | AGPL-3.0 |
| Written in | Python | TypeScript |
| Last push | 2026-09-17 | 2026-08-26 |
| Forks | ⑂ 8.2K | ⑂ 0 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 52K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Grepture if
- You want the Grepture feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches TypeScript
- You evaluated both and Grepture fits your workflow better
About llama_index
LlamaIndex is an MIT licensed, open source Python framework for building agentic applications — retrieval augmented generation systems, agents and multi agent workflows — on top of private documents and data, and it is aimed at AI engineers and teams who need to connect large language models to their own sources of context.
read the full llama_index overview →
About Grepture
Grepture is a drop in LLM API proxy and TypeScript package that sits between an application and providers such as OpenAI or Anthropic, logging every call while detecting and redacting PII, blocklisting sensitive content, and tokenizing fields before a request reaches the upstream model.
read the full Grepture overview →
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Frequently asked questions
Is llama_index or Grepture more popular?
llama_index has 52,202 GitHub stars and Grepture has 8. llama_index has the larger community by that measure.
Are llama_index and Grepture free?
Both are open source. llama_index is licensed under MIT and Grepture under AGPL-3.0. Neither carries a licence fee.
What is the difference between llama_index and Grepture?
llama_index is written in Python and Grepture 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, llama_index or Grepture?
Choose llama_index if you want the larger community (52,202 stars) or its MIT licence terms. Choose Grepture if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.