Open-source alternatives to Patchwork

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.

ggplot2 is a data visualization library for R based on a formal grammar of graphics. It provides a declarative plotting framework that allows users to create complex graphics by combining geometric objects, statistical summaries, and coordinate systems. The system is distinguished by a layered approach to composition, where visualizations are built incrementally by stacking independent geometric, statistical, and coordinate layers. It utilizes a hierarchical styling engine to manage non-data elements such as backgrounds, fonts, and margins, and includes a multi-panel faceting tool for splitti

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 project includes a data visualization styling tool that synchronizes the aesthetic properties and color schemes of plotting libraries with the active interface theme. This ensures that data charts and figures remain visually consistent with the overall workspace theme.

:lockwithink_pen: Opinionated, typographic-centric ggplot2 themes and theme components

This is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep learning and natural language processing. It uses real datasets and multiple frameworks within a structured, hands-on curriculum that combines concise explanations with executable code cells, built-in datasets, and embedded exercise checkpoints. Learning progresses through data preparation and exploration, classical machine learning workflows, computer vision with convolutional neural networks, and natural language processing with deep learning, all delivered as a cohesive progressi

Textures is a data-driven texture library and SVG pattern generator designed to create scalable vector graphic patterns. It serves as a vector graphics utility for programmatically building repeating patterns and fills for web-based data visualizations. The library focuses on using structured data to generate visual textures that distinguish between different categories of information. It employs a data-driven approach to create custom backgrounds and surface details, providing an alternative to color-based styling in charts and maps. The system handles the generation of repeating textures t

This project is a cross-platform UI toolkit and universal UI framework providing a collection of pre-styled interface components for building mobile and web applications. It functions as a mobile design system and themed component library, allowing developers to maintain a cohesive visual language across different screens and devices using a shared codebase. The toolkit centers on a themed component architecture that supports global and component-level style configurations. This enables the definition of colors and property defaults in a central location to ensure consistent branding and a un

Live-Charts is a .NET data visualization library providing a collection of interactive charts, maps, and gauges. It functions as a real-time charting engine and multi-format graphics library designed to render complex data sets within .NET applications. The library features tools for creating interactive data dashboards capable of exploring large datasets. This is supported by a system for zooming, panning, and utilizing multiple coordinate axes to navigate hundreds of thousands of data points. The visualization engine supports a variety of formats including bars, lines, heat maps, and geogr

Plotters is a data visualization library for the Rust programming language used to create 2D and 3D charts, plots, and mathematical visualizations. It functions as a multi-backend rendering engine and coordinate mapping framework that translates raw data values into pixel coordinates through customizable chart contexts. The library distinguishes itself through its ability to export graphics to multiple formats, including SVG, BitMap, and HTML5 canvas. It provides specific capabilities for 3D graphics plotting, featuring adjustable camera viewpoints and projection matrices to manage spatial da

This project is a Python wrapper for the Lightweight Charts library, designed to render interactive, browser-based financial visualizations. It serves as a framework for building custom financial dashboards and interfaces that integrate live market feeds and historical data series. The library enables the construction of complex layouts by combining multi-pane charts, watchlists, and order entry tables into a single unified workspace. It supports real-time market monitoring by streaming live tick or bar data directly into active visualizations, allowing for incremental updates without requiri

Golden Layout is a framework-agnostic UI container and web window layout manager designed to organize application interfaces into a flexible grid of draggable and resizable multi-pane windows. It functions as a hierarchical grid system that arranges page elements into a tree of nested rows and columns to create complex professional interfaces. The system acts as a multi-window workspace orchestrator, allowing components to be detached from the main layout into independent native browser windows. It also serves as a serializable layout engine that captures the arrangement of user interface com

This repository is a comprehensive collection of instructional guides and practical examples for Python development, focusing on machine learning, data science, and web scraping. It provides implementations for neural networks, reinforcement learning algorithms, and deep learning architectures using PyTorch, alongside detailed manuals for scientific computing and data visualization. The project distinguishes itself by offering specialized tutorials on concurrent programming to optimize CPU performance and guides for setting up Linux development environments. It covers the implementation of ad

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

PaperBanana is an AI research visualization tool and framework designed to generate and refine high-resolution academic illustrations from conceptual and technical descriptions. It employs an automated generation pipeline that transforms scientific text and captions into publication-quality diagrams and plots. The system utilizes a multi-stage process consisting of retrieval-augmented planning, image synthesis, and a critic-based iterative refinement mechanism. This workflow allows for the adjustment of image details and the upscaling of visual outputs to 4K resolution. The project includes

This project is a scientific visualization guide and data visualization framework designed for creating high-quality 2D and 3D figures for academic journals and scientific publishing. It provides a structured approach to designing precise layouts, coordinate systems, and typography for complex scientific data. The project features a specialized print-ready PDF workflow and a CMYK print production workflow. These systems translate digital RGB colors into printer-specific CMYK profiles to ensure visual accuracy for physical hardcover and softcover printing. It also serves as a guide for SVG dat

Seaborn is a Python library designed for statistical data visualization. It functions as a high-level interface built on the Matplotlib ecosystem, providing specialized routines to explore and communicate complex patterns within datasets. The framework enables users to generate informative graphics through automated statistical aggregation, multi-plot faceting, and integrated regression modeling. The library distinguishes itself through a declarative approach to data mapping, which translates raw inputs into visual properties like color, size, and position. It includes a robust statistical tr

This project is a comprehensive guide and resource collection for academic writing, focused on LaTeX typesetting and the production of professional research papers. It serves as a manual for refining formal prose, standardizing mathematical notation, and implementing scientific document templates. The project provides specific instructions for managing bibliographies and citations across different academic styles. It establishes standards for typesetting scalars, vectors, and matrices to ensure consistency in complex formulas, and offers guidance on replacing informal language with precise ac

PyQtGraph is a scientific plotting and graphics framework built for PyQt and PySide applications, providing fast, interactive 2D and 3D visualizations with GPU-accelerated rendering. It serves as both a real-time signal monitoring system for streaming time-series data and a toolkit for constructing interactive data dashboards with dockable panels, parameter trees, and custom widgets. The library also includes a node-based visual flowchart tool for building data processing pipelines and a scientific graphics export system that saves plots as PNG, SVG, or CSV and converts items to Matplotlib for

Using Fonts More Easily in R Graphs

Glue strings to data in R. Small, fast, dependency free interpreted string literals.

Interactive Dendrograms

R Package for 2D and 3D mapping and data visualization

Tools for using fonts in R graphics

A gallery of animations in statistics and utilities to create animations

Presentation Ninja 幻灯忍者 · 写轮眼

Enhancing {ggplot2} plots with statistical analysis 📊📣