Jupyter: a one-stop store for big data visualization

JupyteR is an open-source project that enables real-time collaboration in big data analysis, visualization, and software development through more than a dozen programming languages. Its interface contains code entry windows and runs the entered code to provide visually readable images based on the chosen visualization technique.

Tableau: the best solution for visualizing AI, Big Data, and Machine Learning applications

Tableau is one of the market leaders in Big Data visualization, and is particularly effective at providing interactive data visualizations for Big Data operations, deep learning algorithms, and many types of AI applications.

Google Chart: a free and powerful integration powered by Google

Google Chart offers a large number of visualization types, ranging from simple pie charts and time series all the way up to multi-dimensional interactive matrices. There are many options available for charts to be tweaked. For in-depth customization of the charts, you can refer to the detailed help section.

D3.js: Visualize Big Data Any Way You Need It

D3.js stands for Data Driven Document, a JS library for real-time interactive big data visualization. Since this is not a tool, users need to have a good understanding of Javascript before they can use it to work with data and present it in a form that can be understood by others. In addition to this, this JS library renders data in SVG and HTML5 formats, so older browsers like IE7 and 8 can't take advantage of the D3.js functionality.

Smartbi: True Excel operation, easy to use

Smartbi is one of the top vendors of visual BI software in China, with a long history of dedication to providing business intelligence solutions for enterprise customers, and providing customers with reports, data visualization, data mining and other mature functions through its products.