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

यह प्रोजेक्ट एक ओपन सोर्स डिस्कवरी रिसोर्स है जो डेवलपर्स को विशिष्ट कार्यों के लिए तकनीकी समाधान खोजने में मदद करने के लिए पुन: प्रयोज्य कोड और लाइब्रेरी की क्यूरेटेड सूची प्रदान करता है। यह विभिन्न सॉफ़्टवेयर टूल को उनकी कार्यात्मक क्षमताओं के आधार पर व्यवस्थित करने के लिए एक श्रेणी-आधारित इंडेक्सिंग सिस्टम का उपयोग करता है। यह रिपॉजिटरी मार्कडाउन-आधारित दस्तावेज़ीकरण और स्टैटिक कंटेंट के संग्रह के रूप में संरचित है, जो मैन्युअल डिस्कवरी और संदर्भ के लिए एक निर्देशिका के रूप में कार्य करती है। यह निर्देशिका क्षमताओं के क्षेत्रों की एक विस्तृत श्रृंखला को कवर करती है, जिसमें क्रॉस-प्लेटफ़ॉर्म एप्लिकेशन डेवलपमेंट, साइबर सुरक्षा टूल निर्माण, नेटवर्क प्रोटोकॉल कार्यान्वयन और वैज्ञानिक कंप्यूटिंग वर्कफ़्लो शामिल हैं। इसमें वेब स्क्रैपिंग ऑटोमेशन, डेटा स्टोरेज और मल्टीमीडिया इंटरफेस के लिए संसाधन भी शामिल हैं।

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

This project is a comprehensive library for transfer learning and domain adaptation in computer vision. It serves as a framework for aligning feature distributions between source and target datasets, a toolkit for domain generalization, and a library for semi-supervised learning using small labeled datasets and large unlabeled sets. The library provides specialized capabilities for unsupervised domain adaptation, including the use of adversarial networks, discrepancy-based architectures, and image-to-image translation to reduce distribution mismatch. It also includes tools for domain generali

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