Based on our record, Matplotlib should be more popular than Affinity Designer. 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.
There's Affinity Designer, too. https://affinity.serif.com/en-us/designer/. - Source: Hacker News / 6 months ago
Affinity Designer (https://affinity.serif.com/en-us/designer/) is a good choice for doing layouts, although Scribus (https://www.scribus.net/) may be all that you need depending on the complexity of your layouts. Source: 12 months ago
Done in Serif Affinity Designer as a learning execise I guess. Source: about 1 year ago
You'll need inkscape. It's free at inkscape.org. Affinity Designer can do the same job. It's $70 at https://affinity.serif.com/en-us/designer/. Source: about 1 year ago
If you want to do very sophisticated edits, you can actually use Adobe Illustrator or Affinity Designer to edit PDF files (but they are obviously terrible readers). Source: about 1 year ago
Matplotlib: for displaying our image result. - Source: dev.to / 22 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
Sketch - Professional digital design for Mac.
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
Inkscape - Inkscape is a free, open source professional vector graphics editor for Windows, Mac OS X and Linux.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Adobe Illustrator - Adobe Illustrator is a vector graphics editor.
Plotly - Low-Code Data Apps