Projects sharing features with Theme Darcula

This project is an extension for JupyterLab that integrates large language model providers and AI agents directly into computational notebooks. It functions as an integration layer and orchestrator, bridging generative AI backends with a data science workspace to enable the execution of AI prompts within notebook cells and the insertion of generated code blocks into documents. The system features a collaborative chat interface where multiple users can engage with AI personas in real time, sharing conversation threads and utilizing drag-and-drop file attachments for context. It allows for the

JupyterLab is a web-based development environment designed for interactive data science, collaborative research, and computational notebook authoring. It provides a unified workspace where users can execute code, manage computational kernels, and create documents that integrate live code, rich data visualizations, and narrative text. The platform is built on a modular architecture that supports extensive customization through a plugin system. This framework allows for the dynamic loading of extensions, enabling users to define custom file viewers, interface themes, and keyboard shortcuts. By

:neckbeard: Vim notebook cell bindings for JupyterLab

Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.