Plotly provides an open-source Python library for creating interactive charts and data visualizations.
DataVizCatalogue
vsD3.js
DataVizCatalogue vs D3.js
How do DataVizCatalogue and D3.js compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | DataVizCatalogue | D3.js |
|---|---|---|
| What it is | The Data Visualisation Catalogue explains chart types and techniques, with a searchable library organized by visualization function. | For custom data visualizations in JavaScript, D3.js provides tools for scales, axes, transitions, and DOM updates. |
| Website | ||
| Type | Website | Online tool |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Web |
| Open source | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both DataVizCatalogue and D3.js.
More than 50 chart types and modules are available in ZingChart, a JavaScript library for data visualization projects.
This Datawrapper repository contains shared JavaScript utility functions for client-side data visualization, released under the MIT license.
FreeOpen source
24 alternativesSeaborn provides statistical data visualization tools and plotting functions for Python.
Use AnyChart, a JavaScript charting library, with its chart types and API documentation.
Vega-Altair provides declarative data visualization tools for Python applications.






