Seaborn provides statistical data visualization tools and plotting functions for Python.
DataVizCatalogue
vsDatawrapper utilities (GitHub)
DataVizCatalogue vs Datawrapper utilities (GitHub)
How do DataVizCatalogue and Datawrapper utilities (GitHub) compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | DataVizCatalogue | Datawrapper utilities (GitHub) |
|---|---|---|
| What it is | The Data Visualisation Catalogue explains chart types and techniques, with a searchable library organized by visualization function. | This Datawrapper repository contains shared JavaScript utility functions for client-side data visualization, released under the MIT license. |
| Website | ||
| Type | Website | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Free |
| Platforms | Web | Web |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both DataVizCatalogue and Datawrapper utilities (GitHub).
More than 50 chart types and modules are available in ZingChart, a JavaScript library for data visualization projects.
Plotly provides an open-source Python library for creating interactive charts and data visualizations.
For custom data visualizations in JavaScript, D3.js provides tools for scales, axes, transitions, and DOM updates.
nivo provides reusable data visualization components for applications built with React.
ggplot2 creates declarative data visualizations based on the Grammar of Graphics.






