Jupyter extension for collaborative whiteboard
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This project integrates the tldraw whiteboard into Jupyter notebooks, enabling interactive visual data exploration and AI-assisted content generation. It targets data scientists, researchers, and developers working within the Jupyter ecosystem who need a dynamic canvas for their workflows. The primary benefit is a seamless, in-notebook whiteboard experience that can be enhanced with AI capabilities.
How It Works
The library leverages the @tldraw/tldraw
JavaScript library, packaging it for use within Jupyter environments. It utilizes anywidget
as its backend, ensuring that all necessary JavaScript and CSS are bundled with the Python package, eliminating CDN dependencies and improving reliability. For AI features like MakeReal
, it integrates with OpenAI's GPT-4 Vision API, requiring an API key for image-to-prompt generation.
Quick Start & Requirements
pip install tldraw
jupyter lab
) and import TldrawWidget
from tldraw
.MakeReal
functionality.Highlighted Details
@tldraw/tldraw
versions.MakeReal
with OpenAI.anywidget
for robust JS/CSS bundling.TldrawSegmentation
and SVG/PNG export.Maintenance & Community
The project has a history of frequent updates, with recent versions focusing on integrating newer tldraw releases and OpenAI models (e.g., GPT-4o). The changelog indicates active development.
Licensing & Compatibility
The project appears to be distributed under a permissive license, though the README does not explicitly state the license type. Compatibility with commercial or closed-source projects is likely, but confirmation of the specific license is recommended.
Limitations & Caveats
The MakeReal
functionality is dependent on an external OpenAI API key and incurs costs. Some features are marked as experimental, suggesting potential instability or future changes. The project previously used ipyreact
but migrated to anywidget
for improved reliability.
10 months ago
1+ week