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There are different JavaScript charting libraries available. Below is a comparison of which features are available in each. Below is a comparison of which features are available in each. Library Name
Data visualization libraries Plotly.js is an open-source JavaScript library for creating graphs and powers Plotly.py for Python, as well as Plotly.R for R, MATLAB, Node.js, Julia, and Arduino and a REST API.
D3.js (also known as D3, short for Data-Driven Documents) is a JavaScript library for producing dynamic, interactive data visualizations in web browsers. It makes use of Scalable Vector Graphics (SVG), HTML5 , and Cascading Style Sheets (CSS) standards.
fast real-time large-dataset plotting and viewing tool with basic data analysis functionality AIDA: LGPL: Yes 2001: October 2003 / 3.2.1: Open interfaces and formats for particle physics data processing Algebrator: GUI: Proprietary: No 1999: 2009 / 4.2: Linux, Mac OS X, Sugar, Windows: 2D graphs Archim: drawing 2D and 3D graphs: freeware: No ...
DataLab: platform for creating self-service, exploratory data science environments in the cloud using best-of-breed data science tools; DevLake: development data platform, providing the data infrastructure for developer teams to analyze and improve their engineering productivity; HugeGraph: a large-scale and easy-to-use graph database
A JavaScript graphics library is a JavaScript library used to aid in the creation of graphics for either the HTML5 canvas element or SVG. Such a library eases the development and display of graphic elements like particles, motion, animation, plotting, and 3D graphics.
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