plaited


Nameplaited JSON
Version 0.0.1 PyPI version JSON
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home_pagehttps://github.com/jacobwhall/plaited
SummaryPublish reproducible code notebooks using pandoc and jupyter kernels
upload_time2023-02-11 06:25:59
maintainer
docs_urlNone
authorJacob Hall
requires_python
licenseBSD 3-Clause License
keywords pandoc jupyter notebook
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # plaited 🪢
[![build](https://github.com/jacobwhall/plaited/actions/workflows/test-with-coverage.yml/badge.svg)](https://github.com/jacobwhall/plaited/actions/workflows/test-with-coverage.yml)
[![Coverage Status](https://coveralls.io/repos/github/jacobwhall/plaited/badge.svg?branch=trunk)](https://coveralls.io/github/jacobwhall/plaited?branch=trunk)

plaited is a [Pandoc](https://pandoc.org/) [filter](https://pandoc.org/filters.html) that uses [Jupyter](https://jupyter.org/) [kernels](https://github.com/jupyter/jupyter/wiki/Jupyter-kernels) to generate code notebooks.
It's a flexible tool for publishing documents that include code execution in a variety of languages and formats.
It is a fork of [Knitty](https://github.com/kiwi0fruit/knitty), which is a fork of [Stitch](https://github.com/pystitch/stitch), which used code from [knitpy](https://github.com/jankatins/knitpy) and [nbconvert](https://github.com/jupyter/nbconvert).

## Installation

plaited is available on TestPyPI:

```
pip install -i https://test.pypi.org/simple/ plaited
```

I will publish it to PyPI once it is more mature.

## Getting Started

plaited is plug-and-play with Pandoc:

```bash
pandoc --filter plaited -o out.html input.md
```

## Motivation

_Why another code notebook generator?_

Ultimately, plaited is a personal project that I work on for my own benefit.
After reading about Codebraid, Stitch, and Knitty, I wanted a similar tool that meets the following criteria:

### Pandoc filter

- embrace Pandoc AST, allowing other filters, templates, or Pandoc itself to make any formatting decisions
- use [Panflute](https://github.com/sergiocorreia/panflute) to manage document elements

### Jupyter client

- embrace [Jupyter kernels](https://github.com/jupyter/jupyter/wiki/Jupyter-kernels) as the means of code execution
- use [Jupyter Client](https://github.com/jupyter/jupyter_client) to interface with the kernels

### modern Python package

- aim to write hackable, maintainable code
- use modern setuptools configuration

## Contributing

You are more than welcome to submit a pull request to this repository, or open an issue, or send me an email…I'd love to hear from you!

## Thanks

plaited builds upon the work of hundreds of people! Here are a handful of them:

- [John MacFarlane](https://johnmacfarlane.net/) and other contributors to [Pandoc](https://pandoc.org/)
- [Sergio Correia](http://scorreia.com/) and other contributors to [Panflute](https://github.com/sergiocorreia/panflute)
- [Tom Augspurger](https://github.com/TomAugspurger), who wrote [Stitch](https://github.com/pystitch/stitch)
- [Peter Zagubisalo](https://github.com/kiwi0fruit), who created [Knitty](https://github.com/kiwi0fruit/knitty)
- [Jan Katins](https://www.katzien.de/en/), who wrote [knitpy](https://github.com/jankatins/knitpy)

Similar tools that influenced this project:

- [Knitr](https://yihui.org/knitr/) by [Yihui Xie](https://yihui.org/)
- [Codebraid](https://github.com/gpoore/codebraid) by [Geoffrey M. Poore](https://gpoore.github.io/)
- [pandoc-plot](https://laurentrdc.github.io/pandoc-plot/) by [Laurent P. René de Cotret](https://laurentrdc.xyz/)
- [Jupyter Book](https://jupyterbook.org/intro.html)

## License

There seems to have been a misunderstanding by previous developers of this project regarding license compatibility.
[Stitch](https://github.com/pystitch/stitch) and [Knitty](https://github.com/kiwi0fruit/knitty), by Tom Augspurger and Peter Zagubisalo respectively, were released using the [MIT License](https://en.wikipedia.org/wiki/MIT_License).
Their code is adapted from the [knitpy](https://github.com/jankatins/knitpy) and [IPython](https://github.com/ipython/ipython) projects, both released under BSD licenses.
I am not a lawyer, but I do not believe that BSD licenses are compatible with the MIT license.
I hope that by relicensing this project under the Modified (3-Clause) BSD License, work by all prior contributors is being used according to their original licenses.
This is not legal advice, and I welcome any feedback regarding the licensure of this repository.

            

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