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Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, JavaScript [1] and REST.
Library Name License Free Supported Chart Types Supported Bar Chart Types Other Features Interactivity Rendering Technologies Databinding HTML 5 Canvas Line Timeline Scatter ...
There are many tools to perform data visualization, such as Tableau, Power BI, ChartBlocks, and more, which are no-code tools. A beginner’s guide to data visualization with Python and Seaborn ...
3 Graphical/visualization (canvas, SVG, or WebGL related) ... This is a list of notable JavaScript libraries. Constraint programming. Cassowary (software)
In 2009, based on the experience of developing and utilizing Prefuse and Flare, Jeffrey Heer, Mike Bostock, and Vadim Ogievetsky of Stanford University's Stanford Visualization Group created Protovis, a JavaScript library to generate SVG graphics from data. The library was known to data visualization practitioners and academics.
Graphviz (short for Graph Visualization Software) is a package of open-source tools initiated by AT&T Labs Research for drawing graphs (as in nodes and edges, not as in bar charts) specified in DOT language scripts having the file name extension "gv". It also provides libraries for software applications to use the tools.
Vega is used in the back end of several data visualization systems, for example Voyager. [4] [5] Chart specifications are written in JSON and rendered in a browser or exported to either vector or bitmap images. Bindings for Vega-Lite have been written in several programming languages, such as the Python package Altair, [6] to make
p5 is a Python library that provides high level drawing functionality to help you quickly create simulations and interactive art using Python. It combines the core ideas of Processing — learning to code in a visual context — with Python's readability to make programming more accessible to beginners, educators, and artists.