head to head · open source
serviette vs embedJs
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. embedJs has 601 stars, 77 forks, 18 open issues and last shipped 4 months ago. serviette leads on adoption by 9,672% (58,732 vs 601 stars). serviette is written in Python under MIT; embedJs is written in TypeScript under Apache-2.0. serviette has attracted 3% as many forks as stars, embedJs 13%. 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 | embedJs | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 601 |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-06-26 |
| Forks | ⑂ 1.5K | ⑂ 77 |
| 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 embedJs if
- You want the embedJs feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and embedJs 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 embedJs
What is EmbedJs? EmbedJs is an Open Source Framework for personalizing LLM responses. An ultimate toolkit for building powerful Retrieval Augmented Generation (RAG) and Large Language Model (LLM) applications with ease in Node.js. It segments data into manageable chunks, generates relevant embeddings, and stores them in a vector database for optimized retrieval. It enables users to extract contextual information, find precise answers, or engage in interactive chat conversations, all tailored to their own data. 📖 Documentation Comprehensive guides and API documentation are available to help you get the most out…
read the full embedJs overview →
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Frequently asked questions
Is serviette or embedJs more popular?
serviette has 58,732 GitHub stars and embedJs has 601. serviette has the larger community by that measure.
Are serviette and embedJs free?
Both are open source. serviette is licensed under MIT and embedJs under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and embedJs?
serviette is written in Python and embedJs in TypeScript. 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 embedJs?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose embedJs if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.