Based on our record, Matplotlib seems to be a lot more popular than Chart.js. While we know about 100 links to Matplotlib, we've tracked only 1 mention of Chart.js. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Https://chartjs.org works well, but you have to call the update function yourself if you want to do some reactive updates. Source: about 3 years ago
Python (with Matplotlib): A powerful library for creating detailed histograms. - Source: dev.to / about 6 hours ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
Matplotlib: for displaying our image result. - Source: dev.to / 2 months ago
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 4 months ago
Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 7 months ago
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
Plotly - Low-Code Data Apps
Google Charts - Interactive charts for browsers and mobile devices.