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 spending 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.
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.
- 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
- Export content as PDF — for example, combine all blog posts into a single PDF file
- ⚡ Full-text search across ALL your content in your website — docs, blogs, tutorials, everything
- 🤖 Embedded AI Chatbot that answers questions directly using an in-browser LLM — at no cost
The project website for
afterpythonis created usingafterpythonitself. See the website.
You can create your own website too and deploy it to GitHub Pages in less than a minute! See Quickstart.
# install afterpython as a dev dependency
uv add --dev afterpython
# initialize afterpython
ap init# show all commands
ap --help
# or use terminal UI (TUI)
ap tui
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