head to head · open source
llama_index vs sglang-omni
llama_index has 52,202 GitHub stars, 8,162 forks, 770 open issues and last shipped yesterday. sglang-omni has 1,216 stars, 496 forks, 644 open issues and last shipped yesterday. llama_index leads on adoption by 4,193% (52,202 vs 1,216 stars). llama_index is written in Python under MIT; sglang-omni is written in Python under Apache-2.0. llama_index has attracted 16% as many forks as stars, sglang-omni 41%. sglang-omni 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 | sglang-omni | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 1.2K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 8.2K | ⑂ 496 |
| 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 sglang-omni if
- You want the sglang-omni feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and sglang-omni 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 sglang-omni
SGLang Omni is an Apache 2.0 Python serving framework that runs audio models (text to speech, automatic speech recognition, music generation) and unified multimodal models behind OpenAI compatible endpoints, aimed at teams deploying those models on their own GPU infrastructure.
read the full sglang-omni overview →
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Frequently asked questions
Is llama_index or sglang-omni more popular?
llama_index has 52,202 GitHub stars and sglang-omni has 1,216. llama_index has the larger community by that measure.
Are llama_index and sglang-omni free?
Both are open source. llama_index is licensed under MIT and sglang-omni under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and sglang-omni?
llama_index is written in Python and sglang-omni in Python. 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 sglang-omni?
Choose llama_index if you want the larger community (52,202 stars) or its MIT licence terms. Choose sglang-omni if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.