head to head · open source
llama_index vs gpu-hot
llama_index has 52,202 GitHub stars, 8,162 forks, 770 open issues and last shipped yesterday. gpu-hot has 1,636 stars, 83 forks, 8 open issues and last shipped 24 days ago. llama_index leads on adoption by 3,091% (52,202 vs 1,636 stars). llama_index is written in Python under MIT; gpu-hot is written in JavaScript under MIT. llama_index has attracted 16% as many forks as stars, gpu-hot 5%. llama_index 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 | gpu-hot | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 1.6K |
| License | MIT | MIT |
| Written in | Python | JavaScript |
| Last push | 2026-09-17 | 2026-08-25 |
| Forks | ⑂ 8.2K | ⑂ 83 |
| 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 gpu-hot if
- You want the gpu-hot feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and gpu-hot 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 gpu-hot
gpu hot is a self hosted, real time NVIDIA GPU monitoring dashboard that ships as a Docker image and serves a live browser UI on port 1312 for a single machine or an entire cluster of GPU servers.
read the full gpu-hot overview →
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Frequently asked questions
Is llama_index or gpu-hot more popular?
llama_index has 52,202 GitHub stars and gpu-hot has 1,636. llama_index has the larger community by that measure.
Are llama_index and gpu-hot free?
Both are open source. llama_index is licensed under MIT and gpu-hot under MIT. Neither carries a licence fee.
What is the difference between llama_index and gpu-hot?
llama_index is written in Python and gpu-hot in JavaScript. 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 gpu-hot?
Choose llama_index if you want the larger community (52,202 stars) or its MIT licence terms. Choose gpu-hot if its feature set, stack or MIT licence fits better. Both are self-hostable.