head to head · open source
serviette vs SeaGOAT
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. SeaGOAT has 1,316 stars, 95 forks, 44 open issues and last shipped yesterday. serviette leads on adoption by 4,363% (58,732 vs 1,316 stars). serviette is written in Python under MIT; SeaGOAT is written in Python under MIT. serviette has attracted 3% as many forks as stars, SeaGOAT 7%. SeaGOAT 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 | SeaGOAT | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 1.3K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 1.5K | ⑂ 95 |
| 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 SeaGOAT if
- You want the SeaGOAT feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and SeaGOAT 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 SeaGOAT
[!TIP] Check out zeitgrep, another search tool I am working on! SeaGOAT A code search engine for the AI age. SeaGOAT is a local search tool that leverages vector embeddings to enable you to search your codebase semantically. Getting started Install SeaGOAT In order to install SeaGOAT, you need to have the following dependencies already installed on your computer: Python 3.11 or newer ripgrep bat ( optional , highly recommended) When bat is installed, it is used to display results as long as color is enabled. When SeaGOAT is used as part of a pipeline, a grep line output format is used. When color is enabled, but…
read the full SeaGOAT overview →
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Frequently asked questions
Is serviette or SeaGOAT more popular?
serviette has 58,732 GitHub stars and SeaGOAT has 1,316. serviette has the larger community by that measure.
Are serviette and SeaGOAT free?
Both are open source. serviette is licensed under MIT and SeaGOAT under MIT. Neither carries a licence fee.
What is the difference between serviette and SeaGOAT?
serviette is written in Python and SeaGOAT 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 SeaGOAT?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose SeaGOAT if its feature set, stack or MIT licence fits better. Both are self-hostable.