head to head · open source
serviette vs dstack
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. dstack has 2,299 stars, 272 forks, 68 open issues and last shipped yesterday. serviette leads on adoption by 2,455% (58,732 vs 2,299 stars). serviette is written in Python under MIT; dstack is written in Python under MPL-2.0. serviette has attracted 3% as many forks as stars, dstack 12%. dstack 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
| serviette | dstack | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 2.3K |
| License | MIT | MPL-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 1.5K | ⑂ 272 |
| 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 dstack if
- You want the dstack feature set and don't need the biggest community
- You prefer the MPL-2.0 license terms
- Your stack matches Python
- You evaluated both and dstack 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 dstack
dstack is a unified control plane for GPU provisioning and orchestration that works with any GPU cloud, Kubernetes, or on prem clusters. It streamlines development, training, and inference, and is compatible with any hardware, open source tools, and frameworks. Accelerators dstack supports NVIDIA , AMD , Google TPU , and Tenstorrent accelerators out of the box. Latest news ✨ [2026/08] dstack 0.21.0: Pydantic v2, Gateway replicas [2026/07] dstack 0.20.29: Presets — agent driven inference optimization (experimental) [2026/07] dstack 0.20.27: Slurm backend [2026/05] dstack 0.20.21: Kubernetes multiple clusters…
read the full dstack overview →
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Frequently asked questions
Is serviette or dstack more popular?
serviette has 58,732 GitHub stars and dstack has 2,299. serviette has the larger community by that measure.
Are serviette and dstack free?
Both are open source. serviette is licensed under MIT and dstack under MPL-2.0. Neither carries a licence fee.
What is the difference between serviette and dstack?
serviette is written in Python and dstack 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 dstack?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose dstack if its feature set, stack or MPL-2.0 licence fits better. Both are self-hostable.