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jupyter-themes is a Jupyter Notebook theme manager and CSS interface customizer. It provides a command line tool to apply custom color schemes, fonts, and layout styles to notebook environments.
The main features of dunovank/jupyter-themes are: Jupyter Interface Customizations, Command Line Configuration, Jupyter Notebook Curricula, CSS Styling, Interface Stylesheets, Theme Management, Theme Customization, Plot Styling Configurators.
Projects with overlapping indexed features include: makieorg/makie.jl — Makie.jl is a high-performance Julia data visualization library and hardware-accelerated plotting engine used to… garrettj403/scienceplots — SciencePlots is a Matplotlib style library and scientific plotting framework designed to automate the formatting of… mckinsey/vizro — Vizro is a low-code Python framework for building production-ready data visualization applications. It functions as a… thomasp85/patchwork — Patchwork is a layout manager for combining multiple ggplot2 graphics into a single complex arrangement. It functions… zxwk1998/vue-admin-better — vue-admin-better is a Vue 3 admin dashboard template and framework used for creating data-driven backend management… matplotlib/mplfinance — mplfinance is a financial time-series plotter and market data visualization framework built on Matplotlib. It is…
Makie.jl is a high-performance Julia data visualization library and hardware-accelerated plotting engine used to create interactive 2D and 3D visualizations. It functions as a reactive visualization framework where plots update automatically via observables and compute graphs, and as a vector graphics generator for high-resolution academic output. The system is distinguished by its backend-agnostic rendering pipeline, which supports OpenGL, WebGL, and ray-traced scenes. It employs a grammar-of-graphics approach to map variables to aesthetic attributes and utilizes a hierarchical scene graph t
SciencePlots is a Matplotlib style library and scientific plotting framework designed to automate the formatting of figures for academic journals and professional scientific publications. It provides a collection of visual presets and configuration rules for academic typography, layout, and resolution. The project features curated color-blind accessible palettes and figure formatters specifically designed to meet the strict submission standards of academic publishers. It includes specialized tools for professional figure styling and the rendering of non-Latin scripts for multilingual support.
Vizro is a low-code Python framework for building production-ready data visualization applications. It functions as a UI orchestrator that allows users to define multi-page analytical dashboards through structured configurations in Python, YAML, or JSON, reducing the need for extensive frontend engineering. The project distinguishes itself through generative AI integration, utilizing a model context protocol server to translate natural language descriptions into validated dashboard configurations, charts, and layouts. It also features a decoupled data cataloging system that separates data sou
Patchwork is a layout manager for combining multiple ggplot2 graphics into a single complex arrangement. It functions as a multi-plot composition tool and data visualization orchestrator, allowing independent graphics to be arranged into grids and nested layouts using additive and functional syntax. The system differentiates itself through a broadcast-based style application that propagates themes and scales across all subplots to maintain visual consistency. It also features guide-merging reconciliation to identify and collapse redundant legends into a single shared global guide. The framew