head to head · open source
llama_index vs pegainfer
llama_index has 52,202 GitHub stars, 8,162 forks, 770 open issues and last shipped yesterday. pegainfer has 704 stars, 107 forks, 89 open issues and last shipped yesterday. llama_index leads on adoption by 7,315% (52,202 vs 704 stars). llama_index is written in Python under MIT; pegainfer is written in Rust under Apache-2.0. llama_index has attracted 16% as many forks as stars, pegainfer 15%. pegainfer 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
| llama_index | pegainfer | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 704 |
| License | MIT | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 8.2K | ⑂ 107 |
| 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 pegainfer if
- You want the pegainfer feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and pegainfer 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 pegainfer
PegaInfer is a pure Rust and CUDA large language model inference engine that serves models ranging from Qwen3 to Kimi K2 behind an OpenAI compatible API, with no PyTorch or Python runtime in the default serving path.
read the full pegainfer overview →
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Frequently asked questions
Is llama_index or pegainfer more popular?
llama_index has 52,202 GitHub stars and pegainfer has 704. llama_index has the larger community by that measure.
Are llama_index and pegainfer free?
Both are open source. llama_index is licensed under MIT and pegainfer under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and pegainfer?
llama_index is written in Python and pegainfer in Rust. 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 pegainfer?
Choose llama_index if you want the larger community (52,202 stars) or its MIT licence terms. Choose pegainfer if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.