https://github.com/naruaika/witt-data-studio
A powerful, user-friendly, and integrated data platform
https://github.com/naruaika/witt-data-studio
business-intelligence data-analysis data-visualization gnome-desktop gtk4 open-source python
Last synced: 26 days ago
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A powerful, user-friendly, and integrated data platform
- Host: GitHub
- URL: https://github.com/naruaika/witt-data-studio
- Owner: naruaika
- License: apache-2.0
- Created: 2025-06-26T11:19:24.000Z (12 months ago)
- Default Branch: master
- Last Pushed: 2026-04-14T09:06:21.000Z (about 2 months ago)
- Last Synced: 2026-04-14T11:09:43.535Z (about 2 months ago)
- Topics: business-intelligence, data-analysis, data-visualization, gnome-desktop, gtk4, open-source, python
- Language: Python
- Homepage:
- Size: 3.38 MB
- Stars: 221
- Watchers: 8
- Forks: 9
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
> [!IMPORTANT]
> **2026-04-18**: I've just found a potential partner to work on this project. Therefore, development will resume soon, although some things may need to change to meet each party's new, overlapping visions. Anyway, please feel free to create [a new discussion](https://github.com/naruaika/witt-data-studio/discussions/new/choose) or contact me at hello@naruaika.me if you have any inquiries.
> [!NOTE]
> This project is hand-crafted by myself, so please refrain from opening pull requests that rely heavily on AI agents. If that's the case, please feel free to fork this repository and make your own edits. However, I'm very open to some exceptions in AI usage.
# Witt Data Studio
**Witt Data Studio** is a powerful, user-friendly, and integrated data platform.
The word "witt", we believe, is the past form of "wit" which means "understanding, intellect, sense; knowledge, consciousness, conscience". The word "data" is an important addition to further differentiate it from *Wit Studio*, the Japanese animation studio best known for producing *Attack on Titan*.
**Disclaimer:** We know this project sounds ambitious! We're actively exploring the best path forward, balancing community needs with what's technically achievable. Our direction and approaches may evolve as we learn and build.
**Note:** All screenshots above do not represent the final product.
## Status
Currently in early development.
## Documentation
Please visit [our official wiki](https://github.com/naruaika/witt-data-studio/wiki).
## Contributing
We're currently accepting all but external code contributions.
## Licenses
This project, excluding files related to brand identity, is distributed under the [Apache License Version 2](LICENSE).
We use [GTK](https://www.gtk.org/) and [Libadwaita](https://gitlab.gnome.org/GNOME/libadwaita) to build the user interface, which are licensed under the [GNU Lesser General Public License Version 2.1](https://www.gnu.org/licenses/lgpl-2.1.en.html) (LGPL-2.1). The backend for data manipulation uses [Polars](https://pola.rs/), which is distributed under the [MIT License](https://opensource.org/license/mit). For other dependencies, see the `build-aux/requirements.txt` file. We use icons from [Carbon Design System](https://carbondesignsystem.com/elements/icons/library/), which is distributed under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
## Alternatives
If **Witt Data Studio** doesn't fit your need, I personally would recommend you to try one of these alternatives:
- KNIME Analytics Platform (Free)
- Orange Data Mining (Free)
- Altair RapidMiner (Freemium)
- Alteryx Designer (Paid)
Or more generic BI products:
- Apache Superset (Free)
- Microsoft Power BI (Freemium)
- Tableau (Paid)
Or more specialized solutions:
- Jupyter Lab (Free)
- Positron (Free)
- OriginPro (Paid)
**Disclaimer:** We're not affiliated or sponsored by any of the companies that developed the above products. We simply want to help you find the one that best suits your workflow.