Orangetool
CocktailBerry
| Orangetool | CocktailBerry | |
|---|---|---|
| 2 | 3 | |
| 107 | 57 | |
| 2.8% | - | |
| 0.0 | 9.6 | |
| 3 months ago | 12 days ago | |
| Python | Python | |
| MIT License | MIT License |
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Orangetool
CocktailBerry
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New book available: Python GUI - Develop Cross Platform Desktop Applications using Python, Qt and PySide6
Hey there, creator of CocktailBerry, which heavily utilizes PyQt. For me, the footprint/memory usage is a thing, because running on microcomputers (RPi, often only 1 GB Ram) and a Desktop variant of the OS won’t have that many resources for other things. If you want to run one or more docker containers in the background, while also ensuring a seamless operation of your app, this is even more important. Running Chrome in a Kiosk mode works but takes way more spin-up time and response time. For regular desktop projects, I would probably use some web-based framework and maybe bundle it with electron in the end, since memory usage is not so important and, let's be honest, you have much more options and individualization. But developing Qt (especially with the PyQt port) is not slow either. And having a model, view, and controller monolith can benefit or speed up development if you want to also interact with physical components on the pi and have feedback/data streams compared to the frontend/backend + REST approach. I have to admit that styling is quite a pain compared to modern web CSS. PyQt offers QSS, which is some sort of pseudo-CSS, but like from the 90s. So many modern features are lacking. But using some SASS adoption for QSS can even enable you common templates and translate them into different styles, for example. Sometimes, you just need some workaround for options, which would be one line in today’s CSS. And in the end, even if the documentation is not that good like other projects, it’s not horrible either. There are a lot of openly accessible tutorials for beginners, as well as the qt designer/creator for a more visual “drag and drop” creation approach of the application, which may be a plus for some users.
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Built an automatic cocktail machine.
If you want to have some insights, it’s also Open source: https://github.com/AndreWohnsland/Cocktailmaker_AW
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After the Negronibot feedback I went back to the drawing board. This version is much more versatile!
Awesome build. I like the approach you took! I can tell out of experience getting suitable pumps can be one of the most challenging parts… I’ve also build a Cocktail machine with a touch display, here is the code and some impressions, if someone is interested: https://github.com/AndreWohnsland/Cocktailmaker_AW
What are some alternatives?
PyTCP - PyTCP is a fully functional TCP/IP stack written in Python. It supports TCP stream-based transport with reliable packet delivery based on a sliding window mechanism and basic congestion control. It also supports IPv6/ICMPv6 protocols with SLAAC address configuration. It operates as a user space program attached to the Linux TAP interface.
CocktailPi - The webinterface and controlling software for a diy raspberry-pi based cocktail making machine
RC6502-Apple-1-Replica - An expandable SBC-version of the Apple 1 computer, easy to get started with and lot of cool stuff that can be added to it!
Cura - 3D printer / slicing GUI built on top of the Uranium framework
pytradfri - IKEA Trådfri/Tradfri API. Control and observe your lights from Python. Examples available. On pypi. Sans-io.
vinylemulator - Emulate the tactile experience of a vinyl collection through your Sonos system, but with a back end run by Spotify
key-scanner - QR Code scanner created in Python for Raspberry device