Awesome GitHub RepositoriesCustom Plotting Integrations

Charts is a data visualization framework and charting library for iOS, tvOS, and macOS. It provides a set of graphical components used to render interactive line, bar, pie, and scatter charts to represent complex data sets. The project serves as an implementation of a charting library adapted specifically for the Apple ecosystem. It includes a rendering engine capable of plotting data points directly from database records. The framework covers a broad range of visualization capabilities, including interactive data exploration via zooming and panning gestures, visual style customization for c

DearPyGui is a GPU-accelerated, immediate-mode graphical user interface framework for Python. It provides a high-performance toolkit for building interactive desktop applications by leveraging native hardware-accelerated rendering backends across multiple operating systems. By utilizing an immediate-mode execution model, the library offers direct control over the rendering loop and element state, enabling the creation of responsive, dynamic interfaces. The framework distinguishes itself through its ability to handle complex, high-frequency visual updates, making it suitable for real-time data

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

uPlot 是一个高性能 Canvas 时间序列图表库，旨在以高帧率渲染数百万个数据点。它作为一个高频数据可视化工具和实时数据流绘图仪，利用 HTML5 Canvas API 在绘制大型时间数据集时保持响应性。 该项目的独特之处在于其基于插件的可视化框架，允许自定义渲染器创建专门的视觉效果，如热力图和箱线图。它还作为一个交互式金融图表工具，专门支持 OHLC 图表、柱状图和面积带。 该库涵盖了广泛的功能，包括具有线性、对数和均匀刻度的轴管理，以及通过缩放、平移和跨多个链接视图的同步光标进行的交互式导航。它提供了用于动态数据流式传输的滑动窗口缓冲系统，以及用于管理缺失数据和时区感知处理的工具。附加功能包括堆叠图表聚合以及将可视化导出为静态图像格式的能力。

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

sc-im 是一个文本用户界面电子表格计算器和数据管理器。它提供了一个键盘驱动的环境，用于在命令行界面内执行数学计算和管理数据网格。 该应用可脚本化，支持自定义函数、事件驱动的触发器以及集成外部脚本以自动化计算任务。它还允许在运行时加载外部编译模块以扩展其数学功能。 该系统通过行排序、过滤和分类汇总计算来涵盖数据管理。它通过导入和导出 CSV、TAB、Markdown 和 XLSX 格式支持数据互操作性。其他功能包括用于无头数据处理的非交互式执行模式，以及将数据发送到外部绘图软件进行可视化的能力。

这个 C++ 数据可视化库是一个科学绘图框架，用于创建 2D 和 3D 图表、网络图和地理地图。它作为一个多后端图形库运行，将高级绘图逻辑与低级渲染引擎解耦，以支持各种输出后端。 该项目以其双接口 API 脱颖而出，既提供用于快速原型的全局函数接口，也提供用于精确控制的面向对象接口。它具有一个用于管理平铺网格和子图的基于组件的布局引擎，以及一个允许在不清除坐标轴的情况下叠加多个数据系列的层级绘图状态。 该库涵盖了广泛的可视化功能，包括数学函数绘图、向量场，以及通过热力图和平行坐标进行的多维数据分析。它包括用于地理数据可视化的专用工具（如地理气泡图和地理密度图），以及用于渲染有向和无向图网络的工具。通用功能包括坐标轴管理、带有色图的美学样式，以及高质量图形的导出。 该项目利用 CMake 进行构建自动化和依赖检索，以促进在不同操作系统上的安装。

本项目是一个实现模式和源代码示例的集合，用于使用各种 Python 界面库构建桌面应用。它为多个框架提供了参考实现和架构模式，包括 PyQt、PySide、Tkinter、Kivy 和 Streamlit。 该仓库的特色在于为不同的界面类型提供专业示例，范围从专业桌面软件和原生窗口到响应式 Web 数据仪表板和数据科学工具。它包括针对跨平台 UI 模式（如 MV 布局和异步后台任务执行）的特定参考资料。 该项目涵盖了广泛的功能，包括布局管理、带动画的自定义组件开发，以及用于实时可视化的 GPU 加速渲染。它还演示了诸如基于代理的过滤和表格数据样式等数据管理技术，以及将源代码打包为带有嵌入资产的可分发可执行文件的部署工作流。 这些示例进一步解决了功能性 UI 组件（如输入验证、导航菜单和系统托盘集成），以及用于用户身份验证和基于角色的访问控制的安全实现。

This project is a mathematical visualization library and a collection of algorithmic art. It serves as a data visualization guide and an interactive visualizer, providing a set of implementations for rendering complex geometric shapes and mathematical concepts through code. The collection focuses on generating aesthetic patterns and precise graphic elements, including fractals, Bezier curves, and Lissajous patterns. It uses recursive functions and iterative algorithms to produce complex geometric structures and algorithmic art. The library covers a range of capabilities including interactive

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

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