head to head · open source
taipy vs great_expectations
taipy has 19,453 GitHub stars, 1,999 forks, 225 open issues and last shipped 3 months ago. great_expectations has 11,914 stars, 1,883 forks, 42 open issues and last shipped yesterday. taipy leads on adoption by 63% (19,453 vs 11,914 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.
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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 | 2026-11-02 |
| 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
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 great_expectations
About GX Core GX Core combines the collective wisdom of thousands of community members with a proven track record in data quality deployments worldwide, wrapped into a super simple package for data teams. Its powerful technical tools start with Expectations: expressive and extensible unit tests for your data. Expectations foster collaboration by giving teams a common language to express data quality tests in an intuitive way. You can automatically generate documentation for each set of validation results, making it easy for everyone to stay on the same page. This not only simplifies your data quality processes…
read the full great_expectations overview →
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Frequently asked questions
Is taipy or great_expectations more popular?
taipy has 19,453 GitHub stars and great_expectations has 11,914. 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 (19,453 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.