A JupyterLab theme combining VS Code's SynthWave '84 aesthetic with glowing neon effects from the Neon Night theme.
jupyterlab_miami_nights is a custom visual theme for JupyterLab that combines the retro-futuristic aesthetics of VS Code's SynthWave '84 with the glowing neon effects of JupyterLab's Neon Night theme. It enhances the coding interface with gradients, glowing code elements, and custom fonts to create an immersive 80s-inspired environment. The theme solves the need for a visually stimulating yet functional workspace in data science and notebook-based development.
Data scientists, researchers, and developers who use JupyterLab regularly and want a customizable, aesthetically pleasing theme for long coding sessions. It's ideal for users who appreciate retro or neon visual styles in their development tools.
Developers choose this theme for its unique blend of two popular aesthetic styles (SynthWave '84 and Neon Night) with practical enhancements like glowing code and gradient UI elements. It offers extensive customization options for backgrounds and transparency, allowing users to tailor the look to their preferences while maintaining compatibility with JupyterLab's core functionality.
Combination of VS Code's SynthWave '84 and JupyterLab's Neon Night
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Combines VS Code's SynthWave '84 and JupyterLab's Neon Night with glowing code elements and gradient UI, creating a vibrant 80s-inspired look distinct from standard themes.
Provides editable CSS files like custom.css for modifying backgrounds, transparency, and fonts, allowing users to personalize the theme extensively without rebuilding from scratch.
Designed to be colorful yet practical for extended data science work, as noted in the philosophy, reducing eye strain with themed visuals while maintaining functionality.
Evidenced by build status badges, code coverage, and PyPI availability, indicating ongoing development and support for compatibility with JupyterLab versions.
Gradient scrollbars and some glowing effects only work fully on webKit browsers; others require fallbacks or manual settings adjustments, limiting cross-browser consistency.
To change backgrounds or fonts, users must edit CSS files and rebuild the extension using command-line tools, which adds complexity compared to GUI-based theme settings.
As a CSS-based theme, it may clash with other JupyterLab extensions that modify styles, leading to unpredictable UI issues, especially in non-Python environments as hinted in compatibility notes.