Taipy vs Voilà
A data-driven comparison of two Python dashboard & data app frameworks: popularity, development activity, licensing and installation. Updated .
Key differences
- Taipy has 3.3× as many GitHub stars as Voilà (19.5K vs 6K).
- Taipy had more development activity over the last 12 months: 59 commits vs 12.
- Voilà is downloaded 24× as often on PyPI (29.2K vs 1.2K per week).
- Taipy is licensed under Apache-2.0; Voilà under BSD.
- Voilà is the older project: its repository was created in 2018, Taipy's in 2022.
By the numbers
- Taipy
- Voilà
Show data as a table
| Metric | Taipy | Voilà |
|---|---|---|
| GitHub stars | 19,454 | 5,956 |
| PyPI downloads / week | 1,225 | 29,229 |
| Commits, last 12 months | 59 | 12 |
| Contributors | 78 | 73 |
| Forks | 1,998 | 528 |
Development activity
Commits per month to each default branch, last 12 complete months.
- Taipy
- Voilà
Show data as a table
| Month | Taipy | Voilà |
|---|---|---|
| Nov 2025 | 4 | 0 |
| Dec 2025 | 2 | 2 |
| Jan 2026 | 7 | 1 |
| Feb 2026 | 32 | 1 |
| Mar 2026 | 3 | 0 |
| Apr 2026 | 9 | 2 |
| May 2026 | 2 | 0 |
| Jun 2026 | 0 | 1 |
| Jul 2026 | 0 | 0 |
| Aug 2026 | 0 | 0 |
| Sep 2026 | 0 | 5 |
| Oct 2026 | 0 | 0 |
Side by side
| Attribute | Taipy | Voilà |
|---|---|---|
| Description | Python framework for building data and AI web applications with interactive charts and dashboards. | Turns Jupyter notebooks into standalone interactive web applications. |
| Category | Python dashboard & data app frameworks | Python dashboard & data app frameworks |
| License | Apache-2.0 | BSD |
| Language | Python | Python |
| Status | Maintained | Active |
| Latest release | 4.1.1 () | v0.5.13 () |
| Last commit | ||
| Repository created | ||
| Open issues | 200 | 307 |
| Install | pip install taipy | pip install voila |
Which should you choose?
Popularity and activity are only part of the story. Consider which ecosystem you work in, the chart types and interactions you need, how much data you render, and whether the license fits your project. Both tool pages list alternatives if neither is quite right.