Open-source alternatives to Jupyter Themes

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

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

mplfinance is a financial time-series plotter and market data visualization framework built on Matplotlib. It is designed to render market data frames into specialized charts, including candlesticks, OHLC bars, Renko bricks, and point-and-figure columns. The library distinguishes itself through a dedicated market data framework that manages trading calendars and non-trading periods, ensuring accurate temporal spacing by collapsing gaps during holidays. It also provides a system for technical analysis charting, enabling the overlay of moving averages, volume bars, and other technical indicator

ScottPlot is a cross-platform, high-performance charting library for .NET that renders interactive plots across desktop and web GUI frameworks including Windows Forms, WPF, MAUI, Avalonia, Blazor, and WinUI. It provides an optimized rendering engine capable of displaying millions of data points with interactive pan, zoom, and live data streaming, while also supporting image export to formats like PNG and SVG for file output, cloud applications, and notebooks. The library distinguishes itself through a comprehensive set of chart types including scatter, line, bar, pie, heatmap, financial, rada

loadCSS is an asynchronous CSS loader and non-blocking stylesheet injector. It provides a technical implementation for loading stylesheets without blocking the browser rendering process to maintain a responsive user interface. The project implements a specific CSS loading pattern to detect when asynchronous stylesheets have finished loading across different web browsers. This allows for the execution of callback functions only after a stylesheet has fully loaded to ensure consistent visual behavior. The tool covers programmatic stylesheet insertion, dynamic injection based on application log

Twind is a utility-first styling library and JavaScript CSS-in-JS engine. It functions as a Tailwind CSS runtime compiler that transforms utility classes into CSS within the browser, as well as a build tool for extracting static CSS to improve page load performance. The project enables a utility-first styling workflow through a system of predefined classes and customizable theme presets. It supports the extension of styling rules and the definition of custom themes and variants to align the system with specific design requirements. The engine provides runtime CSS generation and just-in-time

This project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p

richeditor-android is a reusable Android UI component that provides a WYSIWYG rich text editor. It functions as an HTML content editor that uses a WebView to render and manipulate text, allowing users to compose formatted documents. The editor enables the integration of multimedia, such as images, audio files, and YouTube videos, directly into the text area. It supports custom visual configuration through CSS styling and provides a read-only mode for displaying formatted content without allowing modifications. The toolset covers rich text formatting for styles like bold, italic, and underlin

This project is a collection of community-developed plugins and a modular framework designed to extend the functionality of the Jupyter notebook environment. It serves as a customization tool that modifies the browser-based workspace through a system of injected scripts, stylesheets, and interactive components. The framework manages the lifecycle and registration of independent interface components using metadata-driven configuration. This allows users to enable or disable specific tools via a configuration menu to tailor the workspace without modifying the core application source code. The

Cnblogs-Theme-SimpleMemory is a customizable visual template for Cnblogs that modifies the layout and styling of blog posts and profile pages. It provides a combination of CSS stylesheets and a JavaScript-driven user interface to alter colors, typography, and layout elements. The theme includes dynamic interface enhancements such as a light and dark mode switcher, a scroll-based reading progress indicator, and a customizable embedded music player. It supports automated visual modifications triggered on specific remembrance days and the ability to change browser tab titles based on page focus.

This is an interactive Python tutorial delivered as a collection of Jupyter notebooks. It is designed as a structured learning path for beginners, teaching fundamental language concepts through a sequence of lessons that combine explanatory text with runnable code cells and embedded practice exercises. Each notebook is a self-contained unit that introduces a topic, demonstrates it with a minimal code example, and then asks the learner to write code themselves, receiving immediate feedback from the browser-based execution environment. The curriculum is built on a progressive concept-stacking mo

Visualization Curriculum is a curated collection of educational Jupyter notebooks and interactive lessons designed to teach foundational principles and practical design patterns for data visualization. The curriculum covers core concepts such as visual encoding, graphical marks, scales, data transformation, multi-view composition, and interaction techniques. Lessons employ declarative grammars to define data graphics through high-level specifications that map data fields directly to visual marks and channels. The materials support multi-view composition architecture, coordinating distinct da

This project is a comprehensive machine learning educational resource and tutorial series delivered as a collection of interactive Jupyter Notebooks. It provides practical Python implementations for the end-to-end machine learning lifecycle, covering supervised and unsupervised learning, deep learning, and reinforcement learning. The resource distinguishes itself by providing detailed implementation guides for complex architectures, including transformers, generative adversarial networks, and convolutional neural networks. It also features specialized courseware for developing reinforcement l

This project is a CSS theme for the Firefox web browser designed to integrate its user interface with the GNOME desktop environment. It implements a visual layer that aligns browser elements with the typography, spacing, and overall design language of the GTK system. The theme provides multiple color palettes, including standard dark mode and high-contrast OLED black variants. It also includes system icon integration, allowing the browser to replace internal images with system-level icons to match the host operating system's aesthetics. Beyond color and iconography, the project covers interf

This project is a collection of interactive Jupyter notebooks designed to teach machine learning and deep learning fundamentals through hands-on coding exercises. It provides a structured curriculum that guides users through the end-to-end data science lifecycle, covering everything from initial data preprocessing to final model evaluation. The repository distinguishes itself by bridging theoretical data science concepts with practical implementation using standard industry libraries. It features a series of tutorials that demonstrate how to build and train predictive models and complex neura

This project is a collection of interactive Jupyter notebooks and a structured machine learning tutorial series. It serves as an educational resource for studying predictive modeling and statistical analysis through a curriculum of executable code examples. The notebooks are specifically designed to accompany video tutorials, integrating external video assets with live code to synchronize visual instruction with hands-on experimentation. This approach allows users to follow sequential lessons while executing and modifying machine learning workflows directly in a browser. The content covers t

This repository is a collection of interactive Jupyter notebooks designed as an educational resource for learning machine learning and data science. It provides a structured curriculum that guides users through the development of predictive models and the analysis of datasets using standard Python libraries. The project utilizes a narrative-driven approach where explanatory text is interleaved with executable code blocks. This format allows learners to execute workflows step-by-step, enabling the visualization of data patterns and the practical implementation of mathematical models within a p

This is a comprehensive deep learning course delivered entirely through Jupyter Notebooks, designed to teach neural network construction using TensorFlow 2.x. The curriculum follows a sequential-model-first pedagogy, introducing the Sequential API before moving to functional and subclassing approaches, and covers the full spectrum of model building from regression and classification through convolutional neural networks, natural language processing, and time series forecasting. The course is structured around a checkpoint-based training workflow that saves the best model weights during traini

gluestack-ui is a cross-platform React component library built with Tailwind CSS. It provides over 30 pre-built, accessible components that can be installed by copying their source files directly into a project, giving developers full control over customization without external runtime dependencies. Every component implements WAI-ARIA patterns, keyboard navigation, and screen reader support out of the box. A key differentiator is the copy-paste architecture: rather than a traditional package dependency, component source code is placed in the project, allowing direct editing and eliminating ve

Ionic Framework is a cross-platform UI toolkit and hybrid app framework used to build native-quality mobile and progressive web applications using HTML, CSS, and JavaScript. It functions as a web component library that enables the deployment of a single codebase across iOS, Android, and the web. The framework features a platform-adaptive design system that automatically switches the visual style of components to match the design patterns of the host operating system. It utilizes a web-component-based architecture with CSS custom properties for global theming and specialized bindings to synchr

Carbon is an enterprise design system that provides a comprehensive collection of reusable UI components, design tokens, and guidelines for building professional web applications. It functions as a CSS framework that enforces a unified design language across projects through standardized typography, spacing, and color palettes. The system utilizes a platform-agnostic design token system to maintain visual consistency across different technologies. This includes centralized management of brand colors, motion easing curves, and a curated library of accessible SVG icons. The framework covers a

Azul is a native desktop application builder and UI toolkit for creating high-performance graphical user interfaces. It utilizes a functional and reactive programming model for managing layout and state, enabling the development of native software through a CSS-based toolkit. The framework is distinguished by its use of the WebRender engine to provide GPU-accelerated rendering. This allows the system to display complex user interface elements with high efficiency and speed by leveraging hardware acceleration. The project enables the design of desktop interfaces using a document object model

This project is a collection of educational resources and study materials focused on scientific computing and data analysis using Python. It consists of translated notes and Jupyter notebooks designed to guide learners through the Python data ecosystem. The content covers specialized workflows including numerical computation, data cleaning, and time series analysis. These materials provide a reference for performing complex data manipulations and processing sequential data to identify patterns. The resource is organized as a series of static files and markdown documents using a flat-file dir

Better Discord enhances Discord desktop app with new features.

Gridea is a desktop application for writing Markdown blog posts and publishing them as a static site without needing a server. It stores all content as plain Markdown files and JSON in a local folder, compiles them into a static site, and deploys the result to multiple remote targets including GitHub Pages, Coding Pages, and SFTP servers. The application runs as a cross-platform Electron client, providing a native editing and publishing experience. It supports custom themes that can be selected, installed from a built-in marketplace, and configured with settings like social links and analytic

This project is a frontend development tutorial and web programming educational resource. It serves as a structured JavaScript web development course and a step-by-step guide designed to teach the core technologies used to create interactive and modern user interfaces. The curriculum focuses on mastering the combination of HTML, CSS, and JavaScript through a series of exercises and projects. It covers frontend development training and JavaScript programming education to help users learn modern web development standards. The material covers the construction of interactive websites, front end

YASB is a customizable status bar framework and desktop shell component for Windows. It provides a toolkit for building personalized information bars using a modular class-based widget architecture and CSS-based styling. The framework distinguishes itself through deep integration with Windows tiling window managers, allowing users to display active workspaces, tiling layouts, and window focus states. It also features automated visual consistency by generating system color schemes based on the current desktop wallpaper. The project covers a wide range of capabilities, including real-time syst