Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR. Learn more →
Self-contained-runnable-py Alternatives
Similar projects and alternatives to self-contained-runnable-py
-
Google Fonts
Font files available from Google Fonts, and a public issue tracker for all things Google Fonts
-
CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
-
-
-
-
Nuitka
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
-
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
-
-
-
pip-audit
Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them
-
-
-
self-contained-runnable-python-package-template
This is a template for creating self-contained, runnable python projects in the form of a tidy, structured, runnable python package
-
tox-poetry-installer
A plugin for Tox that lets you install test environment dependencies from the Poetry lockfile
-
-
-
-
-
emacs-python-exec-find
Discontinued Tracks down the correct Python tooling executables from your virtualenvs so you can glue the binaries to Emacs and delete code in init.el [Moved to: https://github.com/wyuenho/emacs-pet]
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
self-contained-runnable-py discussion
self-contained-runnable-py reviews and mentions
-
Underappreciated Challenges with Python Packaging
The approach I prefer is to not mess with setuptools etc at all in the first place, and simply make a nice executable package.
e.g. https://github.com/tpapastylianou/self-contained-runnable-py...
-
How to create a Python package in 2022
The title should be: How to create a "Python DISTRIBUTION package".
The term "python package" means something entirely different (or at the very least is ambiguous in a pypi/distribution context).
To add to the confusion, creating a totally normal, runnable python package in a manner that makes it completely self-contained such that it can be "distributed" in a standalone manner, while still being a totally normal boring python package, is also totally possible (if not preferred, in my view).
Shameless plug: https://github.com/tpapastylianou/self-contained-runnable-py...
-
Show HN: Hatch 1.0.0 – Modern, extensible Python project management
Shameless plug: I use my own template, which organises things as runnable projects.
https://github.com/tpapastylianou/self-contained-runnable-py...
It serves my purposes very well (which is creating projects that represent standalone experiments).
Sharing in case someone else here finds it useful.
More recently I've modified this a bit to also generate nice html reports straight from the __main__.py file, independently of the underlying python code, and use this as lab books (where each lab book contains a single analysis and its report). I'll upload this template separately when I find the time.
-
A note from our sponsor - CodeRabbit
coderabbit.ai | 11 Feb 2025
Stats
Popular Comparisons
- self-contained-runnable-py VS tox-poetry-installer
- self-contained-runnable-py VS self-contained-runnable-python-package-template
- self-contained-runnable-py VS pip-tools
- self-contained-runnable-py VS hatch
- self-contained-runnable-py VS build
- self-contained-runnable-py VS Nuitka
- self-contained-runnable-py VS pip-audit
- self-contained-runnable-py VS pre-commit
- self-contained-runnable-py VS awesome-devops
- self-contained-runnable-py VS pipx