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Data visualization
Overview
Tools
Libraries
- Data visualization · GitHub
- d3/d3: Bring data to life with SVG, Canvas and HTML.
- square/cube: Cube: A system for time series visualization.
- square/cubism: Cubism.js: A JavaScript library for time series visualization.
- charted-co/charted: A charting tool that produces automatic, shareable charts from any data file
- philogb/jit: The JavaScript InfoVis Toolkit provides tools for creating Interactive Data Visualizations for the Web
- facebookresearch/visdom: A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
- morrisjs/morris.js: Pretty time-series line graphs
- epochjs/epoch: A general purpose, real-time visualization library.
- benpickles/peity: Progressive
- vega/vega: A visualization grammar.
- square/cube: Cube: A system for time series visualization.
- square/cubism: Cubism.js: A JavaScript library for time series visualization.
- jlord/sheetsee.js: Visualize Data from a Google Spreadsheet
- almende/vis: vis.js is a dynamic, browser-based visualization library
- gionkunz/chartist-js: Simple responsive charts
- chartjs/Chart.js: Simple HTML5 Charts using the
- mozilla/metrics-graphics: A library optimized for concise and principled data graphics and layouts.
- shutterstock/rickshaw: JavaScript toolkit for creating interactive real-time graphs
- novus/nvd3: A reusable charting library written in d3.js
- dc-js/dc.js: Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
- charted-co/charted: A charting tool that produces automatic, shareable charts from any data file
- joewalnes/smoothie: Smoothie Charts: smooooooth JavaScript charts for realtime streaming data
- Quartz/Chartbuilder: A front-end charting application that facilitates easy creation of simple beautiful charts
- Matplotlib: Python plotting — Matplotlib 3.0.0 documentation
Resources