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Introducing the Socket Python SDK
The initial version of the Socket Python SDK is now on PyPI, enabling developers to more easily interact with the Socket REST API in Python projects.
World's lightest toolkit to quickly and easily add a GUI to your Python programs and bring them online.
Cyberaddiction, cyberbullying, pedocriminality…: Zelbinium, to prevent the risks related to smartphone use!
The Atlas toolkit is available for:
Language / Demo Repository Popularity Vidéo
WebGPIO (Raspberry Pi/ODROID-C2): the WebGPIO application, with which you can control the Raspberry Pi/ODROID-C2 (and probably other similar devices) GPIOs with your smartphone, is described in the Raspberry Pi/ODROID-C2 below section.
Click the animation to see a screencast of programming this "Hello, World!" program with Python in a matter of minutes:
Same video on Peertube: https://q37.info/s/qfcng9j4.
Source code:
import atlastk
BODY = """
<fieldset>
<input id="Input" xdh:onevent="Submit" value="World"/>
<button xdh:onevent="Submit">Hello</button>
<hr/>
<fieldset>
<output id="Output">Greetings displayed here!</output>
</fieldset>
</fieldset>
"""
def acConnect(dom):
dom.inner("", BODY)
dom.focus("Input")
def acSubmit(dom):
name = dom.getValue("Input")
dom.begin("Output", f"<div>Hello, {name}!</div>")
dom.setValue("Input", "")
dom.focus("Input")
CALLBACKS = {
"": acConnect,
"Submit": acSubmit
}
atlastk.launch(CALLBACKS)
To run above "Hello, World!" program directly in your browser, as seen in corresponding video, follow this link: https://replit.com/@AtlasTK/hello-python.
Thanks to Replit, an online IDE, you can write and run programs using the Atlas toolkit directly in your web browser, without having to install Python on your computer .
To see more examples, like the following TodoMVC, simply:
Run
button,# You can replace 'github.com' with 'framagit.org' or 'gitlab.com'.
# DON'T copy/paste this and above line!
git clone http://github.com/epeios-q37/atlas-python
cd atlas-python/examples
python Hello/
Programs made with the Atlas toolkit work perfectly on your Android devices (smartphone or tablet) using the Termux application. Simply install (pkg intall …
) the git and python packages. That's all!
When using the Atlas toolkit in a Jupyter notebook, the GUI is embedded in the notebook, as shown here:
Jupyter notebook examples can be found in the tutorials directory.
If you want to take your code to the next level, from CLI to GUI, then you found the right toolkit.
With the Atlas toolkit, you transform your programs in modern web applications (SPA) without the usual hassles:
The Atlas toolkit is written in pure Python, with no native code and no dependencies, allowing the Atlas toolkit to be used on all environments where Python is available.
And simply by running them on a local computer connected to internet, applications using the Atlas toolkit will be accessible from the entire internet on laptops, smartphones, tablets…
The Atlas toolkit is particularly well suited for educational purposes, to write modern programming exercises, i.e. with a true graphical interface instead of the usual outdated textual one. More about this can be found here.
Python is much more powerful then Excel macros to automate (boring) tasks, and you can also work with PDF, Word, Google files…. And with the Atlas toolkit, you have much more possibilities then with VBA forms. There are some examples here.
There is also a stub to for this library at address https://q37.info/s/zzcn3wnx.
You will also find programs from The Big Book of Small Python Projects by Al Sweigart to which a graphical user interface using the Atlas toolkit were added in this repository: epeios-q37/AlSweigartTheBigBookPython.
The atlastk
directory contains the Python source code of the Atlas toolkit, which is the directory you have to reference in PYTHONPATH
in order to use the Atlas toolkit in your own program, unless you have installed the atlastk package (pip install atlastk
…).
You can also retrieve the atlastk.zip
file, and add to your source code :
__import__("sys").path.append("<path to>/atlastk.zip")
import atlastk
If the atlastk.zip
file is in the current folder, replace <path-to>/atlastk.zip
with ./atlastk.zip
and not only atlastk.zip
.
In the examples
directory, you will found following examples:
Blank
: very basic example,Hello
: "Hello, World!",Chatroom
: multi-user chatroom,Notes
: note taking program,TodoMVC
: TodoMVC,Hangman
: Hangman game,15-puzzle
: 15-puzzle game,Contacts
: a basic address book,Widgets
: some widgets handled with the Atlas toolkit,Chatrooms
: same as above Chatroom
, but with several rooms,PigGame
: Pig game for one or two players,Reversi
: Reversi game for one or two players,MatPlotLib
: the Atlas toolkit displaying some graphics made with matplotlib; this example needs, of course, the matplotlib package to be installed…Other examples are detailed in the next section.
Except for the ErgoJr, GPIO and RGB applications, which are detailed in the next section, to run an example, launch, from within the examples
directory, python <Name>/
(don't forget the final /
), where <Name>
is the name of the example (Blank
, Chatroom
…).
The Stars application is an example where the Atlas toolkit is used to control a Pygame based application. Of course, Pygame needs to be installed.
The tutorials
directory contains some Jupyter notebooks about the Atlas toolkit.
If the applications does not work on your Raspberry Pi, please see this issue: https://github.com/epeios-q37/atlas-python/issues/1
The GPIO and RGB applications are designed to be used on a Raspberry Pi or a ODROID-C2.
Here is how the WebGPIO application looks like:
For the Raspberry Pi, the RPi.GPIO
Python module have to be installed (this is probably already the case).
For the ODROID-C2, The Python version of WiringPi must be installed, and the application has to be launched, from within the examples
directory, with sudo
(sudo python GPIO/
or sudo python RGB/
).
The ErgoJr application is experimental and to control a Poppy Ergo Jr robot.
The RGB application is dedicated to the control of a RGB led, and the GPIO (aka WebGPIO) application allows to control the basic pins. Click below picture to see a YouTube video on how they work (same video on PeerTube: https://q37.info/s/49pbmwv9):
FAQs
World's lightest toolkit to quickly and easily add a GUI to your Python programs and bring them online.
We found that atlastk demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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