head to head · open source
taipy vs great_expectations
taipy has 19,436 GitHub stars, 1,993 forks, 225 open issues and last shipped 1 months ago. great_expectations has 11,797 stars, 1,850 forks, 42 open issues and last shipped yesterday. taipy leads on adoption by 65% (19,436 vs 11,797 stars). taipy is written in Python under Apache-2.0; great_expectations is written in Python under Apache-2.0. taipy has attracted 10% as many forks as stars, great_expectations 16%. great_expectations was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (data-engineering), 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.
← all 8884 open source comparisons
Side by side
| taipy | great_expectations | |
|---|---|---|
| GitHub stars | ★ 19K | ★ 12K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-08-10 | 2026-09-17 |
| Forks | ⑂ 2.0K | ⑂ 1.9K |
| 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 great_expectations if
- You want the great_expectations 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 great_expectations fits your workflow better
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 great_expectations
Great Expectations, referred to in its own documentation as GX Core, is an open source Python library for validating and documenting the quality of data. It lives in the Python data ecosystem and is published under the Apache 2.0 license. The project has been in development for roughly nine years and carries about 11,794 stars with 1,848 forks, which places it among the longer running tools in the data quality space. Its central concept is the Expectation: an expressive, extensible unit test written against a dataset rather than against application code.
read the full great_expectations overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is taipy or great_expectations more popular?
taipy has 19,436 GitHub stars and great_expectations has 11,797. taipy has the larger community by that measure.
Are taipy and great_expectations free?
Both are open source. taipy is licensed under Apache-2.0 and great_expectations under Apache-2.0. Neither carries a licence fee.
What is the difference between taipy and great_expectations?
taipy is written in Python and great_expectations 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 great_expectations?
Choose taipy if you want the larger community (19,436 stars) or its Apache-2.0 licence terms. Choose great_expectations if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.