SkillAgentSearch skills...

Ipywardley

Bringing Wardley Map magic to Jupyter notebooks

Install / Use

/learn @anjackson/Ipywardley
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

ipywardley

Bringing Wardley Map magic to Jupyter notebooks

PyPI version

Introduction

This plugin makes it easy to generate Wardley Maps using Jupyter Notebooks.

It supports a subset of the syntax defined by the Online Wardley Maps service. This simple language can be use to specify the map via the %%wardley cell magic.

Try it out!

Run on Binder or Open In Colab

Installation

First, install Jupyter. Then before running it, install ipywardley. e.g. if you are using pip:

pip install ipywardley

Then, run Jupyter:

jupyter-lab

Usage

Open up a new Python 3 notebook, and use this command to enable the module:

%load_ext ipywardley

Now you can use the %%wardley directive and create maps. See this example notebook for a detailed example of how to do this.

Screenshot

example-map

To Do

  • Support more of the OWM syntax and features (?=maybe?):
    • [ ] evolution Novel->Emerging->Good->Best and evolution X offering the different sets of x-axis labels.
    • [ ] y-axis Value Chain->Invisible->Visible or y-axis none to make 'Visibility' axis optional.
    • [x] evolve
    • [ ] annotation & annotations?
    • [x] note?
    • [ ] market nodes?
    • [ ] pipeline nodes?
    • [ ] node inertia?
    • [x] +<> links to indicate flow.
    • [ ] +> links to indicate flow.
    • [ ] +< links to indicate flow.
    • [ ] Hot Water+'$0.10'>Kettle flow labels?
    • [ ] build, buy, outsource node augmentation?
    • [ ] submap and related syntax?
    • [ ] pioneer, settler, townplanner areas/boxes?
  • [ ] Add 'Uncharted' and 'Industrialised' labels
  • [ ] Support rendering from a file, via e.g. %wardley file=example.owm style=plain
  • [ ] Make it easier to download the SVG/rendered version?

Development

  1. Clone this directory.
  2. Set up a virtualenv and activate it.
  3. Modify the code.
  4. Run flit install
  5. Run jupyter-lab and test your changes.
  6. Repeat 3-5 ad infinitum.
  7. Turn your changes into a pull request.

Making a Release

As per https://flit.pypa.io/en/stable/

  1. Update version in \_\_init\_\_.py
  2. Commit, tag, push.
  3. flit publish

Change Log

View on GitHub
GitHub Stars21
CategoryDevelopment
Updated9mo ago
Forks4

Languages

Jupyter Notebook

Security Score

87/100

Audited on Jun 19, 2025

No findings