head to head · open source

taipy vs dagster

taipy has 19,434 GitHub stars, 1,992 forks, 225 open issues and last shipped 1 months ago. dagster has 16,168 stars, 2,294 forks, 2,589 open issues and last shipped today. taipy leads on adoption by 20% (19,434 vs 16,168 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 14%. 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.

taipy ★ 19K dagster ★ 16K category AI & Machine Learning

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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 2026-09-18
Forks ⑂ 2.0K ⑂ 2.3K
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

full taipy profile →

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

full dagster profile →

About taipy

Taipy is an open source Python library and ecosystem for building data and AI driven web applications. It is designed for data scientists and machine learning engineers who want to turn data and AI algorithms into production ready web applications, and it lives in the Python ecosystem under the Apache 2.0 license. The project is maintained by Avaiga Private Limited and has been developed over roughly five years, with the repository showing 19,435 stars, 1,993 forks, and 225 open issues at the time of writing.

read the full taipy overview →

About dagster

Dagster is a cloud native data pipeline orchestrator written in Python and released under the Apache 2.0 licence, built for data engineers, data scientists, and machine learning teams who declare the tables, data sets, models, and reports their pipelines should produce and need those assets tested, observable, and kept up to date from local development through production.

read the full dagster overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

taipy vs Ollama taipy vs llama.cpp taipy vs vllm taipy vs GPT4All taipy vs llama_index taipy vs LocalAI taipy vs PageIndex taipy vs Langfuse taipy vs cognee taipy vs zvec taipy vs langchain4j taipy vs txtai

Frequently asked questions

Is taipy or dagster more popular?

taipy has 19,434 GitHub stars and dagster has 16,168. 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 (19,434 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.