Classically, a literate programming system combines a programming language like C with a typesetting language like TeX. To create documentation, you filter the code out of the source files.

Literate programming has been used widely for scientific programming and data science, often using notebook environments, such as Jupyter Notebooks, Jupyter Lab, Visual Studio Code, and PyCharm.

The source code is well, over 1,000 but that’s because of the literate programming comments. The fancy title comments are about half as large as the actual compiler.