--- id: nbconvert version: "7.17.1" license: BSD 3-Clause License - Copyright (c) 2001-2015, IPython Development Team - Copyright (c) 2015-, Jupyter Development Team All rights reserved. Redistribution and use in source and binary forms, with… (full text in the JSON record) license_treatment: permissive maintenance: active --- # nbconvert — Convert Jupyter Notebooks (.ipynb files) to other formats. License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI ## Install pip install nbconvert uv add nbconvert poetry add nbconvert ## Description # nbconvert ### Jupyter Notebook Conversion [![Build Status](https://github.com/jupyter/nbconvert/actions/workflows/tests.yml/badge.svg?query=branch%3Amain++)](https://github.com/jupyter/nbconvert/actions/workflows/tests.yml/badge.svg?query=branch%3Amain++) [![Documentation Status](https://readthedocs.org/projects/nbconvert/badge/?version=latest)](https://nbconvert.readthedocs.io/en/latest/?badge=latest) The **nbconvert** tool, `jupyter nbconvert`, converts notebooks to various other formats via [Jinja] templates. The nbconvert tool allows you to convert an `.ipynb` notebook file into various static formats including: - HTML - LaTeX - PDF - Reveal JS - Markdown (md) - ReStructured Text (rst) - executable script ## Usage From the command line, use nbconvert to convert a Jupyter notebook (_input_) to a a different format (_output_). The basic command structure is: ``` $ jupyter nbconvert --to ``` where `` is the desired output format and `` is the filename of the Jupyter notebook. ### Example: Convert a notebook to HTML Convert Jupyter notebook file, `mynotebook.ipynb`, to HTML using: ``` $ jupyter... ## AI interpretation — verify before relying nbconvert converts Jupyter notebooks (.ipynb files) to multiple static formats including HTML, LaTeX, PDF, Markdown, and executable scripts via Jinja templates. Verdict: nbconvert is a mature, actively maintained tool from the Jupyter project with permissive licensing and low install friction. No known vulnerabilities and broad format support make it a reliable choice for notebook conversion workflows. [View on SkillFed](https://skillfed.io/packages/nbconvert) · [View on PyPI](https://pypi.org/project/nbconvert/)