Based on our record, Matplotlib seems to be a lot more popular than GOG Galaxy. While we know about 98 links to Matplotlib, we've tracked only 4 mentions of GOG Galaxy. 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.
On a fresh GOG GALAXY installation, in the main view "recent" you should see a giveaway banner on the top, you can claim it there. If you have GOG GALAXY installed already and don't see the banner, you can uninstall, and then install it again from https://gog.com/galaxy Please note that uninstallation will cause you to have to reconnect your integrations, add installed games again ("add games & friends" -> scan... Source: almost 3 years ago
Update: 2.0.40 has a fix for missing games. Can be force-updated via gog.com/galaxy installer. Source: almost 3 years ago
Update – all below problems are solved in 2.0.40 which can be force-updated by using the installer from gog.com/galaxy. Source: almost 3 years ago
Try using GOG GALAXY installer from https://gog.com/galaxy , it should update your currently installed client to newest version. You can try reinstalling in case you already have the newest one. :). Source: about 3 years ago
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
Playnite - Source code generated using layoutit.com
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
LaunchBox - LaunchBox is a portable, box-art-based games database and launcher for DOSBox, emulators, arcade cabinets, and PC Games. Download it free!
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Lutris - Lutris is an open source gaming platform for GNU/Linux.
Plotly - Low-Code Data Apps