Based on our record, Python Poetry seems to be a lot more popular than Apache Karaf. While we know about 162 links to Python Poetry, we've tracked only 1 mention of Apache Karaf. 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.
Apache Karaf with OSGi works pretty nice using annotation based dependency injection with the declarative services, removing the need to mess with those hopefully archaic XML blueprints. Too bad it's not as trendy as spring and the developers so many of the tutorials can be a bit dated and hard to find. Karaf also supports many other frameworks and programming models as well and there's even Red Hat supported... Source: about 4 years ago
If you’ve been managing Python projects long enough, you’ve probably dealt with a mess of tools: pip, pip-tools, poetry, virtualenv, conda, maybe even pdm. - Source: dev.to / 25 days ago
First, there was pip. Combined with a requirements.txt, it seemed like a great idea – a straightforward method to declare dependencies explicitly. Luckily, we quickly realized this method tends to spiral into chaos, particularly when developers use "tricks" like pip freeze to lock dependencies rigidly. Fortunately, the Python ecosystem has evolved, introducing modern solutions like Poetry and now uv, offering... - Source: dev.to / about 1 month ago
Anyway, enough reminiscing about the past, this is not intended to be the ultimate guide on asynchronous programming, but a more pragmatic quick-start guide I wish I had back then. Assuming we are in a properly managed project (either through tools like poetry or uv), let’s start with a new module telegram.py for our telegram bot. Remember to add python-telegram-bot dependency to the project. - Source: dev.to / 2 months ago
Managing dependencies in Python projects can often become cumbersome, especially as projects grow in complexity. Poetry is a modern dependency management and packaging tool that simplifies this process, offering a streamlined way to create, manage, and distribute Python projects. - Source: dev.to / 3 months ago
Learn more about poetry here . It’s a great tool. - Source: dev.to / 4 months ago
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Conda - Binary package manager with support for environments.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
pip - The PyPA recommended tool for installing Python packages.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
pre-commit by Yelp - A framework for managing and maintaining multi-language pre-commit hooks