kivy VS Poetry

We will create this complete Python registration form using Kivy. We get started by installing Kivy, a powerful Python framework for building interactive applications.

For reference, YouTube runs on Python[1,2,3]:

> 1. Python and Django: YouTube’s backend is predominantly written in Python, offering a balance of performance and readability.

> 2. Google Cloud Platform...

> 3. Java and C++: YouTube also utilizes Java and C++ for specific backend services, as they provide better performance for certain tasks.

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A long time ago, I looked into these Python frameworks:

- http://www.web2py.com/

- https://kivy.org/

[1]: https://blogopost.com/youtube-tech-stack/#backend

[2]: https://medium.com/@shanthanaroja99/technology-stack-behind-...

[3]: https://youtu.be/G-lGCC4KKok

I have a multi-threaded app using Kivy for the GUI and sometimes need to update the GUI from a background thread. This app is a few years old and I recently updated to Kivy 2.2 and am now getting an exception with the message "Cannot create graphics instruction outside the main Kivy thread" -- which is related to this change in Kivy 2.1: https://github.com/kivy/kivy/pull/7270

I suggest you use kivy which is suitable for the desktop but also has the advantage of being one of few options for creating Python based native(ish) mobile apps (for IoS and Android app stores).

I think the best one right now for python is "beeware": https://beeware.org/

You also have Kivy which is prety good: https://kivy.org/

Anyone has some experience with Kivy [1]? It seems that it checks off some of my requirements, like cross-platform, supporting touch interfaces, ease of development, allows complex/fancy UIs as well, etc.

[1] https://kivy.org/

There are hot reload tools like kivy.tools.kviewer and KivyMD HotReload and I think others... but maybe they used something else, hard to tell

Notable Projects: Kivy ( https://kivy.org/ )

My name is Mathieu Virbel, and I am a consultant on system and software architecture with over 12 years of experience as a freelance and 20 years in the field. I have a passion for creating innovative and user-friendly applications. I specialize in using the open-source Kivy framework to develop desktop and mobile applications, but I am also skilled in other technologies and frameworks.

SEEKING WORK | France (UTC-1) | Remote | Full stack developer

My name is Mathieu Virbel, and I am a consultant on system and software architecture with over 12 years of experience as a freelance and 20 years in the field. I have a passion for creating innovative and user-friendly applications. I specialize in using the open-source Kivy framework to develop desktop and mobile applications, but I am also skilled in other technologies and frameworks.

I worked on a variety of subjects, from Interactives and mobile application for Museum and Public Institutions, Embedded system in security company, telecommunication, and Startups environments from scratch. Recently playing with Python, Golang, VueJS 3/Typescript, InfluxDB, Docker Swarm, as well as writing specifications and reviewing code of others contractors.

Technologies: Python (django, flask, tensorflow, Kivy, …), Golang, TypeScript, VueJS, Quasar, Docker, Docker Swarm, Terraform, Ansible, MongoDB, InfluxDB, MariaDB, SQLite, Kafka, Prometheus/Graphana

Résumé/CV: https://meltingrocks.com/cv

LinkedIn: https://www.linkedin.com/in/mathieuvirbel/

Website: https://meltingrocks.com

Email: [email protected]

Notable Projects: Kivy ( https://kivy.org/ )

You can manage dependencies in Python with the package manager pip, which comes pre-installed with Python. Pip allows you to install and uninstall Python packages, and it uses a requirements.txt file to keep track of which packages your project depends on. However, pip does not have robust dependency resolution features or isolate dependencies for different projects; this is where tools like pipenv and poetry come in. These tools create a virtual environment for each project, separating the project's dependencies from the system-wide Python environment and other projects.

Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:

Poetry

The Semantify repository provides an example Astro.js project. Ensure you have poetry installed, then build the project from the root of the repository:

Has anyone else been paying attention to how hilariously hard it is to package PyTorch in poetry?

https://github.com/python-poetry/poetry/issues/6409

Based on this comment 5 days ago[0], it's working? I'm not sure didn't dig in too far but based on that comment it seems fair to say that it's not fully Poetry's fault because torch removed hashes (which poetry needs to be effective) for a while only recently adding it back in.

Not sure where I would stand if I fully investigated it tho.

[0] https://github.com/python-poetry/poetry/issues/6409#issuecom...

We will be running this project in Python 3.10 on Mac/Linux, and we will use Poetry to manage our dependencies. Later, we will bundle our app into a container using docker for deployment.

Here are the two main packaging issues I run into, specifically when using Poetry:

1) Lack of support for building extension modules (as mentioned by the article). There is a workaround using an undocumented feature [0], which I've tried, but ultimately decided it was not the right approach. I still use Poetry, but build the extension as a separate step in CI, rather than kludging it into Poetry.

2) Lack of support for offline installs [1], e.g. being able to download the dependencies, copy them to another machine, and perform the install from the downloaded dependencies (similar to using "pip --no-index --find-links=."). Again, you can work around this (by using "poetry export --with-credentials" and "pip download" for fetching the dependencies, then firing up pypiserver [2] to run a local PyPI server on the offline machine), but ideally this would all be a first class feature of Poetry, similar to how it is in pip.

I don't have the capacity to create Pull Requests for addressing these issues with Poetry, and I'm very grateful for the maintainers and those who do contribute. Instead, on the linked issues I share my notes on the matter, in the hope that it may at least help others and potentially get us closer to a solution.

Regardless, I'm sticking with Poetry for now. Though to be fair, the only other Python packaging tools I've used extensively are Pipenv and pip/setuptools. It's time consuming to thoroughly try out these other packaging tools, and is generally lower priority than developing features/fixing bugs, so it's helpful to read about the author's experience with these other tools, such as PDM and Hatch.

[0] https://github.com/python-poetry/poetry/issues/2740

[1] https://github.com/python-poetry/poetry/issues/2184

[2] https://pypi.org/project/pypiserver/

We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.

I started using poetry. The problem is poetry will not install if there is dependency conflict and there is no way to ignore: github