head to head · open source

serviette vs openlake

serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. openlake has 2,645 stars, 420 forks, 138 open issues and last shipped 2 days ago. serviette leads on adoption by 2,120% (58,732 vs 2,645 stars). serviette is written in Python under MIT; openlake is written in Rust under Apache-2.0. serviette has attracted 3% as many forks as stars, openlake 16%. 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.

serviette ★ 59K openlake ★ 2.6K category AI & Machine Learning

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Side by side

serviette openlake
GitHub stars ★ 59K ★ 2.6K
License MIT Apache-2.0
Written in Python Rust
Last push 2026-11-02 2026-11-01
Forks ⑂ 1.5K ⑂ 420
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

full serviette profile →

pick openlake if

  • You want the openlake 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 openlake fits your workflow better

full openlake profile →

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 openlake

Fast, easy and efficient storage for LLM Inference and Training 🔥 Distributed storage for GPU workloads. Built on Rust on io uring , OpenLake is a state of the art storage engine delivering million+ iops within 1ms. Updates [2026/09] 🔥 OpenLake tops the MLPerf Storage v3.0 2026 object checkpointing, leading NVIDIA and Nebius (blog). [2026/08] ExANS : a lossless GPU codec for BF16 KV cache: 1.51× cost savings, now available in OpenLake v0.8 (blog). [2026/07] Breaking the KV Wall: managing 100 TB of KV cache and 8× inference throughput with deferred materialization (blog). Older updates [2026/07] Introducing…

read the full openlake overview →

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Frequently asked questions

Is serviette or openlake more popular?

serviette has 58,732 GitHub stars and openlake has 2,645. serviette has the larger community by that measure.

Are serviette and openlake free?

Both are open source. serviette is licensed under MIT and openlake under Apache-2.0. Neither carries a licence fee.

What is the difference between serviette and openlake?

serviette is written in Python and openlake 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 openlake?

Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose openlake if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.