self-contained-runnable-py VS build

Compare self-contained-runnable-py vs build and see what are their differences.

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self-contained-runnable-py build
3 7
- 659
- 4.1%
- 9.2
- 11 days ago
Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

self-contained-runnable-py

Posts with mentions or reviews of self-contained-runnable-py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-03.
  • Underappreciated Challenges with Python Packaging
    10 projects | news.ycombinator.com | 3 Jan 2023
    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
    13 projects | news.ycombinator.com | 27 Jul 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
    6 projects | news.ycombinator.com | 28 Apr 2022
    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.

build

Posts with mentions or reviews of build. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-03.

What are some alternatives?

When comparing self-contained-runnable-py and build you can also consider the following projects:

tox-poetry-installer - A plugin for Tox that lets you install test environment dependencies from the Poetry lockfile

gh-action-pypi-publish - The blessed :octocat: GitHub Action, for publishing your :package: distribution files to PyPI: https://github.com/marketplace/actions/pypi-publish

pip-tools - A set of tools to keep your pinned Python dependencies fresh.

installer - A low-level library for installing from a Python wheel distribution.

hatch - Modern, extensible Python project management

setuptools - Official project repository for the Setuptools build system

pip-audit - Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them

pyunifiprotect - Unofficial UniFi Protect Python API and CLI

Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.

awesome-pyproject - An Awesome List of projects using the pyproject.toml Python configuration file.

pipx - Install and Run Python Applications in Isolated Environments

serverless-project-example - Example Python project using AWS serverless stack