ggvis is described as 'Data visualization package for R which lets you create rich interactive graphics that you can play with locally in Rstudio or in your browser, using a syntax similar in spirit to ggplot2' and is an app. There are more than 10 alternatives to ggvis for a variety of platforms, including Web-based, Windows, Mac, Linux and Self-Hosted apps. The best ggvis alternative is Matplotlib, which is both free and Open Source. Other great apps like ggvis are D3.js, Tableau, Plotly and Squey.
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.
Matplotlib is the most popular Windows, Mac & Linux alternative to ggvis.
Matplotlib is the most popular Open Source & free alternative to ggvis.
D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
D3.js is the most popular Web-based & Self-Hosted alternative to ggvis.
Tableau helps the world’s largest organizations unleash the power of their most valuable assets: their data and their people.
Tableau is the most popular commercial alternative to ggvis.
Plotly is the easiest way to graph and share data online. Open-source libraries for JavaScript (comparison with HighCharts at https://plot.ly/highcharts-alternative/), Python, R, and MATLAB.
Plotly is the most popular iPhone alternative to ggvis.
Squey is an open-source visualization software designed to interactively explore and understand large amounts of tabular data.
Squey is the most popular SaaS alternative to ggvis.
This project is an attempt to build re-usable charts and chart components for d3.js without taking away the power that d3.js gives you. This is a very young collection of components, with the goal of keeping these components very customizeable, staying away from your standard...
Marple Insight offers powerful tools for interactive analysis of high-frequency time-series data. Engineers and scientists from automotive, aerospace and manufacturing use it to explore, visualise, and analyse sensor or test data.
CanvasJS is an easy to use HTML5 and Javascript Charting library. It runs across devices including iPhone, iPad, Android, Windows Phone, Microsoft Surface, Desktops, etc. This allows you to create rich dashboards that work on all the devices without compromising on...
Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, but also deliver this capability with high-performance interactivity over very...
D3-based reusable chart library that enables deeper integration of charts into web applications
vis.js is a dynamic, browser based visualization library. The library is designed to be easy to use, to handle large amounts of dynamic data, and to enable manipulation of and interaction with the data.
dc.js is a JavaScript charting library with native Crossfilter support and allowing highly efficient exploration on large multi-dimensional dataset (inspired by Crossfilter 's demo). It leverages d3 engine to render charts in CSS friendly SVG format. Charts rendered using dc.
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