deck.gl vs visx
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A GPU-accelerated framework for drawing large data sets as layers on maps and 3D views.
Open source · MIT
A set of reusable React building blocks for drawing custom charts, built on d3 math.
The short answer
Choose deck.gl if you need…
- Developers building interactive maps or geospatial dashboards over large data sets
- Teams who need GPU rendering for tens of thousands of points or shapes
- Python users who want to produce deck.gl maps through pydeck
- Projects that need custom rendering by extending core classes
Choose visx if you need…
- React developers who want full control over how a chart looks and behaves
- Teams building their own reusable chart library on top of shared components
- Developers who already know d3 and want its math without its DOM update style
- Projects that want to keep bundle size small by importing only needed packages
Side-by-side
| deck.gl | visx | |
|---|---|---|
| Type | Library | Library |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 14.7k | 21.1k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Install with a package manager | Install with a package manager |
| Main language | TypeScript | TypeScript |
| Last code update | 4 days ago | 5 months ago |
What each one is
deck.gl
deck.gl is a visualization framework that uses WebGL2 and WebGPU to draw large data sets quickly in the browser. You feed it an array of data objects, choose layers such as icons, polygons or text, and view them through map, first-person or orthographic views. It is used by developers who need interactive maps and charts over big data, and it also has a Python wrapper called pydeck.
visx
visx is a collection of low-level visualization components for React. It uses d3 for the calculations and math, while React handles updating the page, so developers can build charts without writing d3 selection code by hand. You install only the small packages you need, such as shapes or scales, and combine them into your own charts.
Best for
deck.gl
- Developers building interactive maps or geospatial dashboards over large data sets
- Teams who need GPU rendering for tens of thousands of points or shapes
- Python users who want to produce deck.gl maps through pydeck
- Projects that need custom rendering by extending core classes
visx
- React developers who want full control over how a chart looks and behaves
- Teams building their own reusable chart library on top of shared components
- Developers who already know d3 and want its math without its DOM update style
- Projects that want to keep bundle size small by importing only needed packages
Strengths
deck.gl
- Built for GPU rendering of large data sets
- Large catalog of tested layers and flexible APIs for customization
- Open-source under the MIT license, part of the OpenJS Foundation's vis.gl project
visx
- Components are low-level and unopinionated, so you control the final look
- Lets you use d3 math without managing d3 selections or enter/exit/update logic
- Modular packages mean you only include what you use
Not ideal for
deck.gl
- People wanting a finished tool without coding, since it is a framework for building visualizations
- Simple static charts with small data, where a lighter charting library is easier
- Users on browsers without WebGL2 support, since rendering depends on it
visx
- People who want ready-made charts with no coding, since visx provides building blocks rather than finished charts
- Projects that need built-in animation, because the README says visx deliberately does not include animation and suggests using existing React animation libraries instead
- Projects not using React, since the components are built for React 18 or 19
Trade-offs
deck.gl
- Requires programming knowledge and is not a point-and-click tool
- Relies on WebGL2 or WebGPU support in the user's browser
- The README is truncated here, so detailed setup requirements are not fully confirmed
visx
- Because it is low-level, you write more code than with a turnkey charting library
- No built-in animation; you must add a React animation library yourself if you want it
- Requires React 18 or 19 for the current v4 release, so older React projects need migration (see the migration guide)
Getting started
deck.gl
Install the npm module
npm install deck.glInstall the Python package
pip install pydeckvisx
Install the packages used in the README example
npm install --save @visx/mock-data @visx/group @visx/shape @visx/scaleFrequently asked questions
What is the difference between deck.gl and visx?
deck.gl: A GPU-accelerated framework for drawing large data sets as layers on maps and 3D views. visx: A set of reusable React building blocks for drawing custom charts, built on d3 math. deck.gl suits developers building interactive maps or geospatial dashboards over large data sets, while visx suits react developers who want full control over how a chart looks and behaves.
Are deck.gl and visx free?
deck.gl: Free and open source. visx: Free and open source.
Is deck.gl or visx more popular?
visx has more GitHub stars (21.1k) than deck.gl (14.7k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to deck.gl and visx?
Other options people compare them with include kepler.gl, Plotly.js, G6, plotly.py, G2.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.