requirements-wayback-machine VS publishing-python-packages

Compare requirements-wayback-machine vs publishing-python-packages and see what are their differences.

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requirements-wayback-machine publishing-python-packages
1 2
3 76
- -
2.7 0.0
about 1 year ago about 1 month ago
Python Python
MIT License 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.
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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.

requirements-wayback-machine

Posts with mentions or reviews of requirements-wayback-machine. We have used some of these posts to build our list of alternatives and similar projects.

publishing-python-packages

Posts with mentions or reviews of publishing-python-packages. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-15.
  • How to improve Python packaging, or why 14 tools are at least 12 too many
    9 projects | news.ycombinator.com | 15 Jan 2023
    I don't agree with all the points from the article, but I do agree there is a depth of learning to be had about creating packages (and doing it repeatably/scalably). I wrote a book about creating Python packages that just came out: https://pypackages.com

    Even this book doesn't cover all options in each area, and it skips almost wholly over conda because I have no personal experience using it. conda and the work in the scientific community adds complexity both to the creation and the consumption side of packaging, and that's one area I'm not sure this post covers all the nuance of when considering how a "one size fits all" solution might work in practice.

  • Publishing Python Packages: available now!
    1 project | /r/learnpython | 15 Dec 2022
    If reading code is more your thing, you might want to check out the code companion.

What are some alternatives?

When comparing requirements-wayback-machine and publishing-python-packages you can also consider the following projects:

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

sigstore-python - A Sigstore client for Python

poetry-core - Poetry PEP 517 Build Backend & Core Utilities

pigar - :coffee: A tool to generate requirements.txt for Python project, and more than that. (IT IS NOT A PACKAGE MANAGEMENT TOOL)

py2exe - Create standalone Windows programs from Python code

pythonfluente2e - Python Fluente, Segunda Edição

pip - The Python package installer

roadmap - Public roadmap for the Poetry package manager

ochrona-cli - A command line tool for detecting vulnerabilities in Python dependencies and doing safe package installs

tox-pin-deps - Run tox environments with strictly pinned dependencies (and no project or code changes).