jupyterlab_camunda_modeller_extension
Model BPMN diagrams and open Camunda BPMN files directly in JupyterLab. This extension provides a visual editor for business process modelling within the JupyterLab environment.
Features
- BPMN diagram modelling - Create and edit BPMN 2.0 diagrams visually
- Camunda BPMN support - Open and modify Camunda-specific BPMN files
- JupyterLab integration - Native file browser integration for .bpmn files
- Element colouring - Colour picker in the element context pad
- Export as SVG - Download the diagram as an SVG file from the canvas context menu
- Realign Connectors - Widen text annotations and redraw their association lines from the canvas context menu
- Toolbar - Reload from disk, zoom out, zoom in, fit the diagram to the view, and validate
- Text editor - Open With > Editor shows the BPMN XML with syntax highlighting, closing-tag completion and folding
- Validation - The toolbar Validate button and the
bpmn-validatecommand report malformed XML, broken references, elements the modeller cannot show and common modelling mistakes
Requirements
- JupyterLab >= 4.6
Installation
pip install jupyterlab-camunda-modeller-extension
Validating BPMN files
The package installs the bpmn-validate command. It reads the files and never changes them.
bpmn-validate diagram.bpmn
bpmn-validate --json processes/*.bpmn
Each issue prints as path:line:column: severity code: message. Errors mean the file is broken; everything else is a warning. The command exits 0 when no file has an error, 1 when a file has an error, and 2 when a file cannot be read. bpmn-validate --help lists every check.
In JupyterLab, the Validate button in the diagram toolbar runs the same checks on the diagram as shown, unsaved edits included, and lists each issue with its severity, element and message.
Agent skill
The skill .agents/skills/jupyterlab-camunda-modeller-extension/SKILL.md tells AI coding agents to run bpmn-validate after editing a .bpmn file. The wheel installs it under share/jupyter/agents/skills/. Link it once, with the Python that runs JupyterLab:
mkdir -p ~/.agents/skills && ln -s "$(python -c 'import sys; print(sys.prefix)')/share/jupyter/agents/skills/jupyterlab-camunda-modeller-extension" ~/.agents/skills/jupyterlab-camunda-modeller-extension
From a clone of this repository:
ln -s "$PWD/.agents/skills/jupyterlab-camunda-modeller-extension" ~/.claude/skills/jupyterlab-camunda-modeller-extension
Uninstall
pip uninstall jupyterlab_camunda_modeller_extension
Contributing
If you would like to contribute to this extension, please refer to the Contributing Guide.
Built with the mass irony of using a visual BPMN editor to model workflows that will inevitably be replaced by an AI agent that doesn't need diagrams to understand what you meant. Until then, we'll keep drawing boxes and arrows, pretending that documenting our processes makes them more efficient - when in reality, the diagram will be outdated before the meeting to review it even starts. But hey, at least the boxes are nicely rounded and the gateway diamonds are perfectly centered.
Metadata
Release files for jupyterlab-camunda-modeller-extension 1.0.33
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jupyterlab_camunda_modeller_extension-1.0.33.tar.gz | 779.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jupyterlab_camunda_modeller_extension-1.0.33-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.4 MB
Release files / jupyterlab_camunda_modeller_extension-1.0.33.tar.gz
| Download URL | jupyterlab_camunda_modeller_extension-1.0.33.tar.gz |
|---|---|
| Size | 779.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / jupyterlab_camunda_modeller_extension-1.0.33-py3-none-any.whl
| Download URL | jupyterlab_camunda_modeller_extension-1.0.33-py3-none-any.whl |
|---|---|
| Size | 588.2 kB |
| Tags | Python 3 |
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| Uploaded via |
twine/7.0.0 CPython/3.14.8
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