Customizable SVG map visualizations for the web in a single Javascript file using D3.js
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Ce site utilise le logiciel libre CKAN
Good browser compatibility & WAI-ARIA support
NVD3 Re-usable charts for d3.js This project is an attempt to build re-usable charts and chart components for d3.js without taking away the power …
Plotly's JavaScript graphing library, Plotly.js, is now Open-source and Free
Dataquest Blog -- articles about data science
Data visualization made easy. A javascript library that extends the popular D3.js to enable fast and beautiful visualizations.
D3 based reusable chart library
This Jupyter notebook walks through the process of creating a choropleth map of the world in Python using the Matplotlib Basemap Toolkit.
Stop plotting your data - annotate your data and let it visualize itself.
HoloViews is a Python library that makes analyzing and visualizing scientific or engineering data much simpler, more intuitive, and more easily reproducible. Instead of specifying every step for each plot, HoloViews lets you store your data in an annotated format that is instantly visualizable, with immediate access to both the numeric data and its visualization. Examples of how HoloViews is used in Python scripts as well as in live Jupyter Notebooks may be accessed directly from the holoviews-contrib repository.
Highcharts - Interactive JavaScript charts for your web pages.