Awesome GitHub RepositoriesPlotting and Visualization

PLFM_RADAR is a phased array radar system designed for target detection and tracking at a 10.5 GHz operating frequency. It integrates an LFM waveform generator, a radar signal processor, and an electronic beam steer controller to function as a low-cost radar solution. The system differentiates itself through electronic beam steering, which uses phase shifters to adjust antenna elevation and azimuth without physical movement. It also incorporates a geospatial target tracker that fuses GPS and IMU sensor data to provide real-time position and attitude correction for plotting targets. The proje

Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance graphics and data dashboards that render in web browsers. It serves as a tool for generating standalone HTML documents, embedded components for digital notebooks, and full-stack web applications powered by a Python backend. The project distinguishes itself through its ability to handle large or streaming datasets while maintaining smooth interactivity. It enables linked brushing across multiple views, allowing data selected in one plot to automatically highlight corresponding data i

DearPyGui is a hardware-accelerated Python GUI framework and graphics rendering engine. It operates as an immediate mode user interface system, rendering frames from scratch to ensure high performance and minimal state management for desktop applications. The project functions as a GPU-accelerated plotting library capable of rendering millions of data points with high frame rates. It also serves as a node editor toolkit for constructing interactive graph-based interfaces to manage visual data flows. The framework includes capabilities for custom 2D graphics rendering, interface theme customi

backtesting.py is a Python trading backtesting framework used to simulate trading strategies against historical price data to evaluate performance and risk. It includes a technical trade simulator, a quantitative performance analyzer, and a financial strategy optimizer. The framework features a parallel strategy simulator that distributes execution across multiple processor cores to reduce computation time. It also provides tools for strategy parameter optimization, allowing the identification of performant settings through the use of heatmaps and metrics. The system covers trade execution m

This project is a Python machine learning education kit that provides curated datasets and visualization scripts to teach fundamental machine learning concepts. It functions as both a machine learning visualization library and a collection of educational datasets designed for demonstrating and testing common models and patterns. The toolkit focuses on illustrating the internal logic and operational patterns of machine learning algorithms. It generates figures and datasets that visualize how different models behave and operate on data to aid in the learning process. The implementation utilize

FriendsDontLetFriends is a scientific data visualization guide and framework designed to help users create accurate plots while avoiding common data representation mistakes. It provides a collection of scripts and guidelines for selecting distribution plots, color scales, and layouts that accurately represent complex experimental data. The project distinguishes itself through specialized toolkits for revealing hidden patterns in large datasets. It includes systems for heatmap optimization via dimension reordering and outlier management, as well as spatial layout algorithms to improve the inte

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

Vega-Lite is a high-level declarative language for specifying interactive, multi-view visualizations. It compiles a concise JSON specification into a full Vega visualization, automatically inferring scales, axes, and legends from encoding declarations. The grammar-of-graphics encoding maps data fields to visual channels such as position, color, size, and shape, while a multi-view composition grammar enables layered, faceted, concatenated, and repeated layouts. Reactive parameter binding links named parameters to input widgets, selections, and expressions for dynamic updates. The project suppo

هذا المشروع هو مورد لاكتشاف المصادر المفتوحة يوفر قوائم منسقة من الأكواد والمكتبات القابلة لإعادة الاستخدام لمساعدة المطورين في العثور على حلول تقنية لمهام محددة. يستخدم نظام فهرسة يعتمد على الفئات لتنظيم أدوات برمجية متنوعة حسب إمكانياتها الوظيفية. تم هيكلة المستودع كمجموعة من الوثائق القائمة على Markdown والمحتوى الثابت، ليكون بمثابة دليل للاكتشاف اليدوي والمرجعي. يغطي الدليل مجموعة واسعة من مجالات القدرات، بما في ذلك تطوير التطبيقات عبر المنصات، وإنشاء أدوات الأمن السيبراني، وتنفيذ بروتوكولات الشبكة، وسير عمل الحوسبة العلمية. كما يتضمن موارد لأتمتة استخراج بيانات الويب، وتخزين البيانات، وواجهات الوسائط المتعددة.

Notcurses is a terminal graphics engine and TUI library that renders high-fidelity images, video, and rich Unicode graphics directly in terminal emulators. At its core, it provides a layered framebuffer system that composes overlapping planes with independent depth and opacity, enabling complex visual scenes. The library also includes a terminal input processor for capturing and decoding keyboard and mouse events, a data visualization toolkit for histograms and line plots, a multimedia terminal player for images and video, and a TUI widget framework with reusable interface components. The lib

هذا المشروع هو مكتبة شاملة للتعلم بنقل المعرفة وتكييف النطاق (Domain adaptation) في رؤية الحاسوب. يعمل كإطار عمل لمحاذاة توزيعات الميزات بين مجموعات البيانات المصدر والمستهدفة، ومجموعة أدوات لتعميم النطاق، ومكتبة للتعلم شبه الخاضع للإشراف باستخدام مجموعات بيانات صغيرة مصنفة ومجموعات كبيرة غير مصنفة. توفر المكتبة قدرات متخصصة لتكييف النطاق غير الخاضع للإشراف، بما في ذلك استخدام الشبكات التنافسية، والمعماريات القائمة على التناقض، والترجمة من صورة إلى صورة لتقليل عدم تطابق التوزيع. كما تتضمن أدوات لتعميم النطاق لضمان موثوقية النموذج عبر نطاقات مستهدفة غير مرئية من خلال خلط الأنماط وتقليل المخاطر الثابتة. يغطي المشروع سطح قدرات واسع بما في ذلك تكييف المهام والضبط الدقيق مع التنظيم المتخصص، والتدريب شبه الخاضع للإشراف عبر التصنيف الزائف وتعلم الاتساق، واختيار نموذج التعلم بنقل المعرفة باستخدام مقاييس القابلية للنقل. كما يتضمن مديراً لمجموعات البيانات لأتمتة الحصول على معايير الرؤية الموحدة وإعدادها. تتضمن المكتبة أدوات للمراقبة، مثل تصورات t-SNE ومقاييس A-distance لتحليل توزيعات الميزات وتناقض النطاق.

This project is a technology radar visualization tool and dockerized static site generator. It transforms JSON or CSV datasets into an interactive technology map used to track the adoption status and maturity of tools and techniques across an organization. The tool enables enterprise architecture mapping by organizing portfolios of technologies into categories and maturity levels. It supports custom technical taxonomies, allowing the definition of specialized rings and quadrants to match specific organizational evaluation criteria. The system covers automated radar generation and technology

a gdip chart lib for autohotkey

SVGraph bringing graphing and charting to AutoHotkey