8 KDE snaps written in January
didrocks
on 9 February 2017
Tags: snapcraft , Snaps , Ubuntu Desktop
This article was last updated 5 year s ago.
It’s a special this month. Instead of our round-up of desktop snaps, we’re focusing on KDE! 8 KDE snaps written in January have been selected from a Tetris-like game to an education platform on countries.
To recap for those of you that may not know, snaps are a new way for developers to package their apps, bringing with it many advantages over the more traditional package formats such as .deb, .rpm, and others. They are secure, isolated and allow apps to be rolled back should an issue occur. Snaps really are the future of Linux application packaging.
Check out the list of KDE snaps below!
 |
1. ktuberling The most awesome game ever! |
 |
2. kbruch Learn how to do fractions |
 |
3. katomic Fun and education in one. |
 |
4. kblocks Falling blocks game. |
 |
5. kmplot Plotting mathematical functions. |
 |
6. kgeography An education application for learning states/countries/capitals |
 |
7. kollision Casual ball game |
 |
8. kruler A screen ruler to measure pixel distance on your screen |
Happy snapping! And learn more at Snapcraft
Ubuntu for desktops
The open source Ubuntu desktop operating system powers millions of PCs and laptops around the world.
Ubuntu is fast, modern, secure and it comes with everything you need to run your organisation, school, home or enterprise.
Newsletter signup
Related posts
TurtleBot3 OpenCR firmware update from a snap
The TurtleBot3 robot is a standard platform robot in the ROS community, and it’s a reference that Canonical knows well, since we’ve used it in our tutorials....
Among the waves: Plucky Puffin
Not to be confused with the titular Linux mascot and seabird cousin, the penguin, puffins are another distinctively colorful and whimsical nautical avian....
Experiment Tracking with MLFlow in Canonical’s Data Science Stack
Welcome back, data scientists! In my previous post, we explored how easy it is to set up a machine learning environment with Canonical’s Data Science Stack...