head to head · open source
serviette vs gpu-hot
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. gpu-hot has 1,642 stars, 86 forks, 8 open issues and last shipped 2 months ago. serviette leads on adoption by 3,477% (58,732 vs 1,642 stars). serviette is written in Python under MIT; gpu-hot is written in JavaScript under MIT. serviette has attracted 3% as many forks as stars, gpu-hot 5%. serviette 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
| serviette | gpu-hot | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 1.6K |
| License | MIT | MIT |
| Written in | Python | JavaScript |
| Last push | 2026-11-02 | 2026-08-25 |
| Forks | ⑂ 1.5K | ⑂ 86 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick serviette if
- You weight community size — 59K 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 serviette
serviette Looking for llm app templates? All templates, cookbooks and examples are still available in full in the Pathway repository under examples/llm app . A no code, always up to date RAG server for any vector database — built on the Pathway Live Data Framework. Point serviette at a folder of documents, pick a vector database and an embedder in one YAML file, and run two commands: you get a chat and a REST API that answer from those documents and cite their sources. From then on, any change to the documents — an edit, a new file, a deletion — is reflected in the answers within seconds. serviette runs on…
read the full serviette overview →
About gpu-hot
GPU Hot Real time NVIDIA GPU monitoring dashboard. Lightweight, web based, and self hosted. Usage Monitor a single machine or an entire cluster with the same Docker image. Single machine: Multiple machines: Open Older GPUs: Add e NVIDIA SMI=true if metrics don't appear. Process monitoring: Add init pid=host to see process names. Note: This allows the container to access host process information. From source: Requirements: Docker + NVIDIA Container Toolkit Features Real time metrics (sub second) Automatic multi GPU detection Process monitoring (PID, memory usage) Historical charts (utilization, temperature…
read the full gpu-hot overview →
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Frequently asked questions
Is serviette or gpu-hot more popular?
serviette has 58,732 GitHub stars and gpu-hot has 1,642. serviette has the larger community by that measure.
Are serviette and gpu-hot free?
Both are open source. serviette is licensed under MIT and gpu-hot under MIT. Neither carries a licence fee.
What is the difference between serviette and gpu-hot?
serviette 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, serviette or gpu-hot?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose gpu-hot if its feature set, stack or MIT licence fits better. Both are self-hostable.