head to head · open source
serviette vs gpustack
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. gpustack has 5,949 stars, 708 forks, 696 open issues and last shipped yesterday. serviette leads on adoption by 887% (58,732 vs 5,949 stars). serviette is written in Python under MIT; gpustack is written in Python under Apache-2.0. serviette has attracted 3% as many forks as stars, gpustack 12%. 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 | gpustack | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 5.9K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 1.5K | ⑂ 708 |
| 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 gpustack if
- You want the gpustack 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 gpustack 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 gpustack
English 简体中文 日本語 Overview GPUStack is an open source GPU cluster manager for AI model serving and GPU instance provisioning. It configures and orchestrates inference engines — vLLM, SGLang, TensorRT LLM, or your own — and lets you launch SSH accessible GPU instances on demand. Its core features include: Multi Cluster GPU Management. Manages GPU clusters across multiple environments. This includes on premises servers, Kubernetes clusters, and cloud providers. Pluggable Inference Engines. Automatically configures high performance inference engines such as vLLM, SGLang, and TensorRT LLM. You can also add custom…
read the full gpustack overview →
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Frequently asked questions
Is serviette or gpustack more popular?
serviette has 58,732 GitHub stars and gpustack has 5,949. serviette has the larger community by that measure.
Are serviette and gpustack free?
Both are open source. serviette is licensed under MIT and gpustack under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and gpustack?
serviette is written in Python and gpustack 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, serviette or gpustack?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose gpustack if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.