Based on our record, Matplotlib seems to be more popular. It has been mentiond 98 times since March 2021. 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.
Matplotlib: for displaying our image result. - Source: dev.to / about 1 month 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
Google Chart Tools - Google Chart Tools is a world’s most popular tool that allows users to display their data on their website via simple or attractive visualizations.
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
SAP Lumira - Empower all types of users with SAP Lumira, a single solution for self-service data discovery, visualization, and analytic app creation.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Google Data Studio - Data Studio turns your data into informative reports and dashboards that are easy to read, easy to share, and fully custom. Sign up for free.
Plotly - Low-Code Data Apps