head to head · open source
taipy vs dagster
taipy has 19,453 GitHub stars, 1,999 forks, 225 open issues and last shipped 3 months ago. dagster has 16,364 stars, 2,395 forks, 2,589 open issues and last shipped 4 days ago. taipy leads on adoption by 19% (19,453 vs 16,364 stars). taipy is written in Python under Apache-2.0; dagster is written in Python under Apache-2.0. taipy has attracted 10% as many forks as stars, dagster 15%. dagster was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (data-engineering, data-integration, mlops, orchestration), 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
| taipy | dagster | |
|---|---|---|
| GitHub stars | ★ 19K | ★ 16K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-08-10 | 2026-10-30 |
| Forks | ⑂ 2.0K | ⑂ 2.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick taipy if
- You weight community size — 19K stars and counting
- You want the Apache-2.0 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 taipy
Build Python Data & AI web applications From simple pilots to production ready web applications in no time. No more compromises on performance, customization, and scalability. Go beyond existing libraries Table of Contents Taipy? What for? Taipy and its ecosystem Quickstart Documentation and resources Contributing Code of Conduct License ⭐ What for? Taipy is designed for data scientists and machine learning engineers to create data & AI driven web applications. ⭐️ Enables building production ready web applications. ⭐️ No need to learn new languages; only Python is needed. ⭐️ Focus on data and AI algorithms…
read the full taipy 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 taipy or dagster more popular?
taipy has 19,453 GitHub stars and dagster has 16,364. taipy has the larger community by that measure.
Are taipy and dagster free?
Both are open source. taipy is licensed under Apache-2.0 and dagster under Apache-2.0. Neither carries a licence fee.
What is the difference between taipy and dagster?
taipy 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, taipy or dagster?
Choose taipy if you want the larger community (19,453 stars) or its Apache-2.0 licence terms. Choose dagster if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.