Based on our record, Matplotlib seems to be a lot more popular than dimple. While we know about 98 links to Matplotlib, we've tracked only 1 mention of dimple. 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.
It has been a while since I dabbled in JS but isn't dimple.js essentially what you described? Source: over 1 year ago
Matplotlib: for displaying our image result. - Source: dev.to / 18 days ago
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 2 months ago
Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago
For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 9 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
redux-query - A React/Redux library for querying and managing network state
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
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.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Plotly - Low-Code Data Apps