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AfterPython: Python Package Maintenance Toolkit and Project Website Generator

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Problem

Going from writing Python code to publishing and maintaining a package is time-consuming. First-time maintainers must learn multiple tools and concepts, e.g. MyST, SemVer, CI/CD (pre-commit hooks, GitHub workflows), and they often spend hours just to deploy a documentation site whereas well-resourced projects like PyTorch and Scikit-Learn have dedicated websites that serve as their project hubs.

Solution

afterpython automates the tedious parts of Python package maintenance and generates a project website for building community and hosting content such as documentation, blog posts, tutorials, examples and more — empowering more developers to write packages with ease.


afterpython is a CLI tool that abstracts away the complexity of content writing, website deployment, and package release/maintenance by providing an opinionated set of modern tools — so you don’t have to spend time selecting or learning anything beyond the basics.

Core Features

  • Write content directly in MyST Markdown or Jupyter Notebook
  • Go from writing to website deployment in minutes — no need to learn any of the underlying tools
  • Centralize all your content in a modern, unified project website — from documentation to blog posts
  • Zero-config orchestration — Pre-configured modern tooling with sane defaults (see Tech Stack), so you can start maintaining packages immediately without learning each tool
  • ⚡ Full-text search across ALL your content in your website — docs, blogs, tutorials, everything
  • Export content as PDF — for example, combine all blog posts into a single PDF file
  • 🤖 Embedded AI Chatbot that answers questions directly using an in-browser LLM — at no cost

Project Website

The project website for afterpython is created using afterpython itself. See the website.

Project Website

You can create your own website too and deploy it to GitHub Pages in less than a minute! See Quickstart.


Installation

# install afterpython as a dev dependency
uv add --dev afterpython

# initialize afterpython
ap init

CLI Commands

# show all commands
ap --help

# or use terminal UI (TUI)
ap tui

Tech Stack

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  • Uploaded using Trusted Publishing? Yes
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