ipynb-to-md

A simple command-line tool that converts Jupyter/IPython Notebook (.ipynb) files into Markdown (.md) files. This is especially handy when you want to share your notebook content (including code snippets and outputs) in Markdown-based documentation. I personally use it in Yazi to preview ipynb files.

Table of Contents

• Features
• Requirements
• Installation
• Cloning the Repository
• Building and Running
• Usage
• Example
• License
• Contributing

Features

• Cell Type Detection
  • Automatically distinguishes between code cells and markdown cells.
• Code Fencing
  • Wraps source code in fenced code blocks (e.g., ```python).
• Output Handling
  • Extracts text-based outputs and displays them as fenced code blocks.
• Easy Configuration
  • Works via command-line parameters—simply specify your input and optionally an output file.
• Lightweight & Fast
  • Written in Rust with Serde for JSON parsing.

Requirements

• Rust (1.83+ or any current stable version)
  • Install Rust by following the instructions at rustup.rs.
• Cargo
  • Comes bundled with the Rust toolchain, used for building and running Rust projects.

Installation

Cloning the Repository

git clone https://github.com/<your-username>/ipynb-to-md.git
cd ipynb-to-md

Building and Running

1. Build the project:

cargo build

2. Run the project:

cargo run -- <input.ipynb> [output.md]

If you prefer a release build (optimized for performance), use:

cargo build --release

Then the compiled binary will be located in target/release/ipynb-to-md.

Usage

Usage:

ipynb-to-md <input.ipynb> [output.md]

• input.ipynb: The path to a valid Jupyter Notebook file.
• output.md: Optional path to the resulting Markdown file.
  • If not specified, the converted Markdown is printed to standard output.

Example:

cargo run -- my_notebook.ipynb converted_notebook.md

After running, you should see either an on-screen or file-based representation of your original notebook in Markdown format.

Example

Sample .ipynb content might look like this (in abbreviated JSON form):

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": ["# My Notebook\\n", "This is a markdown cell\\n"]
    },
    {
      "cell_type": "code",
      "source": ["print(\"Hello, world!\")\\n"],
      "outputs": [
        {
          "output_type": "stream",
          "text": ["Hello, world!\\n"]
        }
      ]
    }
  ],
  "metadata": {},
  "nbformat": 4,
  "nbformat_minor": 5
}

When converted, you’d get:

# My Notebook
This is a markdown cell

```python
print("Hello, world!")
``\`

Hello, world!

License

This project is distributed under the MIT License. You are free to use, modify, and distribute this software as allowed by its license.

Contributing

Contributions of all kinds are welcome! Feel free to open an issue for any bugs, feature requests, or general questions. If you’d like to make code changes:

1. Fork the repository.
2. Create a new feature branch.
3. Commit your changes.
4. Open a pull request describing what you changed and why.

We appreciate your feedback and contributions!

Happy coding!
If you find this tool helpful, consider giving the repository a star ⭐ on GitHub!