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 هي مكتبة تخطيط سلسلة زمنية عالية الأداء تعتمد على Canvas مصممة لعرض ملايين نقاط البيانات بمعدلات إطارات عالية. تعمل كمصور بيانات عالي التردد وراسم تدفق بيانات في الوقت الفعلي، وتستخدم واجهة برمجة تطبيقات HTML5 Canvas للحفاظ على الاستجابة عند رسم مجموعات بيانات زمنية كبيرة. يتميز المشروع كإطار عمل تصور قائم على المكونات الإضافية يسمح للمعرضين المخصصين بإنشاء صور مرئية متخصصة مثل الخرائط الحرارية ومخططات الصندوق والشارب. كما يعمل كأداة تخطيط مالي تفاعلية، تدعم بشكل خاص مخططات OHLC، والأشرطة، ونطاقات المساحة. تغطي المكتبة مجموعة واسعة من القدرات، بما في ذلك إدارة المحور بمقاييس خطية ولوغاريتمية وموحدة، والتنقل التفاعلي عبر التكبير، والتحريك، والمؤشرات المتزامنة عبر طرق عرض مرتبطة متعددة. وتوفر أنظمة لبث البيانات الديناميكي مع التخزين المؤقت للنافذة المنزلقة وأدوات لإدارة البيانات المفقودة والمعالجة الواعية بالمنطقة الزمنية. تشمل الوظائف الإضافية تجميع المخططات المكدسة والقدرة على تصدير التصورات إلى تنسيقات صور ثابتة.

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 هو برنامج جداول بيانات بواجهة مستخدم نصية ومدير بيانات. يوفر بيئة تعتمد على لوحة المفاتيح لإجراء العمليات الحسابية وإدارة شبكات البيانات داخل واجهة سطر الأوامر. التطبيق قابل للبرمجة، ويدعم وظائف مخصصة، ومشغلات تعتمد على الأحداث، ودمج نصوص خارجية لأتمتة مهام الحساب. كما يسمح بتحميل وحدات مجمعة خارجية في وقت التشغيل لتوسيع إمكانياته الرياضية. يغطي النظام إدارة البيانات من خلال فرز الصفوف، والتصفية، وحسابات المجاميع الفرعية. ويدعم قابلية التشغيل البيني للبيانات عبر استيراد وتصدير تنسيقات CSV وTAB وMarkdown وXLSX. تشمل الإمكانيات الإضافية وضع تنفيذ غير تفاعلي لمعالجة البيانات بدون واجهة والقدرة على إرسال البيانات إلى برامج رسم بياني خارجية للتصور.

This C++ data visualization library is a scientific plotting framework used to create 2D and 3D charts, network graphs, and geographic maps. It operates as a multi-backend graphics library, decoupling high-level plotting logic from low-level rendering engines to support various output backends. The project distinguishes itself with a dual-interface API, providing both a global functional interface for rapid prototyping and an object-oriented interface for precise control. It features a component-based layout engine for managing tiled grids and subplots, alongside a layered plot state that all

This project is a collection of implementation patterns and source code examples for building desktop applications using various Python interface libraries. It provides reference implementations and architectural patterns for multiple frameworks, including PyQt, PySide, Tkinter, Kivy, and Streamlit. The repository distinguishes itself by offering specialized examples for diverse interface types, ranging from professional desktop software and native windows to reactive web-based data dashboards and data science tools. It includes specific reference material for cross-platform UI patterns, such

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