Skip to main content

jupyterlab_camunda_modeller_extension

GitHub Actions npm version PyPI version Total PyPI downloads JupyterLab 4 Brought To You By KOLOMOLO Donate PayPal

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.

Screenshot

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-validate command 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)

Source distribution for jupyterlab-camunda-modeller-extension 1.0.33
File Size Uploaded
jupyterlab_camunda_modeller_extension-1.0.33.tar.gz 779.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for jupyterlab-camunda-modeller-extension 1.0.33
File Interpreter ABI Platform
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
SHA-256 checksum
How to use checksums
12b3e5f7bd43bd54152cac7e0f07e221fd9d417387fac08f09c930c1e5cd1bfe
BLAKE2b-256 checksum
How to use checksums
7544c2a5438abc0fe952c35f58d63538f3870cc6318ecdb9945883780262e653
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.8

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
SHA-256 checksum
How to use checksums
9d7151c2ac2c39c42f0a51347613f6a0244af12b4270c0fefae83dfc55fde206
BLAKE2b-256 checksum
How to use checksums
5600ba39101bec645aa3280cc070696aee18464079c1389784e91e1162993e11
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.8

Release history Release notifications | RSS feed

1.0.34

2 release files

This release

1.0.33 This release

2 release files

1.0.32

2 release files

1.0.9

2 release files

1.0.3

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page