head to head · open source
serviette vs dagster
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. dagster has 16,364 stars, 2,395 forks, 2,589 open issues and last shipped 4 days ago. serviette leads on adoption by 259% (58,732 vs 16,364 stars). serviette is written in Python under MIT; dagster is written in Python under Apache-2.0. serviette has attracted 3% as many forks as stars, dagster 15%. serviette 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 | dagster | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 16K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-30 |
| Forks | ⑂ 1.5K | ⑂ 2.4K |
| 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 dagster if
- You want the dagster feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and dagster 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 dagster
Dagster is a cloud native data pipeline orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best in class testability. It is designed for developing and maintaining data assets , such as tables, data sets, machine learning models, and reports. With Dagster, you declare—as Python functions—the data assets that you want to build. Dagster then helps you run your functions at the right time and keep your assets up to date. Here is an example of a graph of three assets defined in Python: The graph loaded into Dagster's web UI: Dagster is…
read the full dagster overview →
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Frequently asked questions
Is serviette or dagster more popular?
serviette has 58,732 GitHub stars and dagster has 16,364. serviette has the larger community by that measure.
Are serviette and dagster free?
Both are open source. serviette is licensed under MIT and dagster under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and dagster?
serviette is written in Python and dagster 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 dagster?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose dagster if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.