head to head · open source
serviette vs ollaya
serviette has 58,774 GitHub stars, 1,515 forks, 8 open issues and last shipped 9 days ago. ollaya has 1,388 stars, 83 forks, 4 open issues and last shipped yesterday. serviette leads on adoption by 4,134% (58,774 vs 1,388 stars). serviette is written in Python under MIT; ollaya is written in Rust under Apache-2.0. serviette has attracted 3% as many forks as stars, ollaya 6%. ollaya 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 | ollaya | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 1.4K |
| License | MIT | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-10-16 | 2026-10-24 |
| Forks | ⑂ 1.5K | ⑂ 83 |
| 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 ollaya if
- You want the ollaya feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and ollaya 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 ollaya
ollaya Run open decision models locally, the way Ollama runs LLMs. System 1 for AI agents: fast, typed, calibrated decisions for routing, guardrails, triage and tool approval. Website · Models · Bench · Docs · Releases · Hugging Face Created and maintained by Mert Cobanov ( @mertcobanov ). A decision model reads a state (a message, an email, a ticket, any JSON) plus typed questions ( choice , score , noul ) and returns calibrated probabilities in a single forward pass, in milliseconds. It never generates text. Ollaya pulls these models by name and serves them from a local daemon behind a self hosted, Jev…
read the full ollaya overview →
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Frequently asked questions
Is serviette or ollaya more popular?
serviette has 58,774 GitHub stars and ollaya has 1,388. serviette has the larger community by that measure.
Are serviette and ollaya free?
Both are open source. serviette is licensed under MIT and ollaya under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and ollaya?
serviette is written in Python and ollaya in Rust. 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 ollaya?
Choose serviette if you want the larger community (58,774 stars) or its MIT licence terms. Choose ollaya if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.