head to head · open source
pixijs vs DeepBI
pixijs has 48,189 GitHub stars, 5,070 forks, 344 open issues and last shipped 3 days ago. DeepBI has 2,383 stars, 370 forks, 71 open issues and last shipped 23 days ago. pixijs leads on adoption by 1,922% (48,189 vs 2,383 stars). pixijs is written in TypeScript under MIT; DeepBI is written in Python under MIT. pixijs has attracted 11% as many forks as stars, DeepBI 16%. pixijs was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| pixijs | DeepBI | |
|---|---|---|
| GitHub stars | ★ 48K | ★ 2.4K |
| License | MIT | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-09-17 | 2026-08-28 |
| Forks | ⑂ 5.1K | ⑂ 370 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick pixijs if
- You weight community size — 48K stars and counting
- You want the MIT license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick DeepBI if
- You want the DeepBI feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and DeepBI fits your workflow better
About pixijs
PixiJS is an open source 2D rendering library for the web, described in its README as the HTML5 Creation Engine. It ships WebGL and WebGPU renderers and is written in TypeScript, distributed under the MIT license from the pixijs/pixijs repository, which has been developed for fourteen years and holds roughly 48,000 stars across about 5,000 forks. The project lives in the JavaScript and TypeScript ecosystem: it is installed through npm and driven from browser code, with GLSL shaders, canvas, canvas2d, and rendering engine listed among its topics. Its homepage is pixijs.com, and the repository carries the Data and …
read the full pixijs overview →
About DeepBI
DeepBI is an open source Python AI native data analysis platform in the business intelligence and data analytics ecosystem. It uses large language models to help users explore, query, visualize, and share data from connected sources. The MIT licensed project presents itself as a conversational data scientist for data driven decisions.
read the full DeepBI overview →
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Frequently asked questions
Is pixijs or DeepBI more popular?
pixijs has 48,189 GitHub stars and DeepBI has 2,383. pixijs has the larger community by that measure.
Are pixijs and DeepBI free?
Both are open source. pixijs is licensed under MIT and DeepBI under MIT. Neither carries a licence fee.
What is the difference between pixijs and DeepBI?
pixijs is written in TypeScript and DeepBI 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, pixijs or DeepBI?
Choose pixijs if you want the larger community (48,189 stars) or its MIT licence terms. Choose DeepBI if its feature set, stack or MIT licence fits better. Both are self-hostable.