Plotly provides an open-source Python library for creating interactive charts and data visualizations.
D3.js
vspygal
D3.js vs pygal
How do D3.js and pygal compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | D3.js | pygal |
|---|---|---|
| What it is | For custom data visualizations in JavaScript, D3.js provides tools for scales, axes, transitions, and DOM updates. | pygal provides Python tools for creating charts and visualizing data in applications. |
| Website | ||
| Type | Online tool | 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 D3.js and pygal.
ParaView analyzes and visualizes data across settings ranging from laptops to supercomputers, according to its project site.
Matplotlib provides Python tools for creating plots and visualizations from data.
Vega-Altair provides declarative data visualization tools for Python applications.
Seaborn provides statistical data visualization tools and plotting functions for Python.
More than 50 chart types and modules are available in ZingChart, a JavaScript library for data visualization projects.