Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features.
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pypyr
Python Poetry
pip
Conda
pipenv
envd
apm
Conan
Package Control
pip
Python Poetry
Conda
apm
Conan
CPM
Visual Studio Code
Package ControlNo pypyr videos yet. You could help us improve this page by suggesting one.
Based on our record, Package Control should be more popular than pypyr. It has been mentiond 9 times since March 2021. 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.
The pypyr automation pipeline task-runner open-source project recently added TOML parsing & writing functionality as a core feature. To this end, I researched the available free & open-source Python TOML parser libraries to figure out which option to use. - Source: dev.to / over 2 years ago
The shebang will depend on your system setup. I haven’t heard of shebang packages, and I don’t know how useful they would be. But if one exists it would be listed on Package Control. Source: about 1 year ago
Another Editor would be Sublime Text. Its not so mighty like VS Code. But it is fast, customisable via packagecontrol etc. etc. Source: about 1 year ago
I also tried packagecontrol.io but it seems like it is not filtering properly. If I try to filter :s4 its just returning a big mix of everything... Source: over 1 year ago
- name: install package vars: package_name: "Package Control.sublime-package" get_ulr: url:"{{ 'https://packagecontrol.io/' + package_name }}" Dest: "{{ '~/.config/sublime-text/Packages/User/' + package_name }}". Source: over 1 year ago
Adding to this, while the software is proprietary the community mods/packages ecosystem is very healthy and easy to use. https://packagecontrol.io/. - Source: Hacker News / over 1 year ago
Python Poetry - Python packaging and dependency manager.
pip - The PyPA recommended tool for installing Python packages.
Conda - Binary package manager with support for environments.
pipenv - Python Development Workflow for Humans. Contribute to pypa/pipenv development by creating an account on GitHub.
apm - Atom Package Manager https://atom.io/packages
envd - Machine learning development environment for data science and AI/ML engineering teams.