Awesome GitHub RepositoriesHeatmap Visualization

Naive UI is a comprehensive TypeScript user interface library and component set designed specifically for Vue 3 applications. It provides a type-safe framework for building web interfaces, featuring a responsive layout engine and high-performance data components such as virtual-scroll data tables. The library is distinguished by a customizable theme system that utilizes type-safe JavaScript objects for visual overrides instead of traditional CSS variables. This architecture allows for dynamic runtime updates and global style configurations managed through a centralized provider. The framewor

react-native-maps is a cross-platform mobile map component for iOS and Android that renders interactive geographic data and markers. It provides a native map view and viewport controller to manage camera movement, zoom levels, and coordinate-based animations on mobile devices. The project includes a GeoJSON map renderer for visualizing complex geographic features and an interactive map overlay library for drawing polylines, polygons, and heatmaps. It supports integration with both Google Maps and Apple Maps, allowing developers to switch between providers or apply cloud-based styling and cust

Guetzli is a lossy image compression tool and perceptual JPEG encoder. It converts PNG or JPEG inputs into high-density JPEG files, reducing file size by removing data that the human eye cannot easily detect. The tool utilizes human vision models to optimize the balance between file size and visual fidelity. It employs perceptual quality metrics and psychovisual similarity estimation to maintain high visual quality while maximizing compression density. The project includes a visual difference analyzer capable of generating spatial difference heatmaps and calculating scalar similarity scores.

This project is a comprehensive library of practical Python code examples and patterns. It provides a collection of scripts and snippets designed to demonstrate a wide range of programming tasks, from basic syntax to advanced implementation patterns. The repository focuses on several core domains, including the implementation of concurrency and multithreading examples, data analysis snippets for cleaning and manipulating tabular data, and various data visualization examples. It also covers automation scripts for file system management and a variety of general programming patterns. Additional

Dawarich is a self-hosted location history manager and travel journaling platform. It functions as a personal travel archive that collects GPS coordinates and movement data, providing a private alternative to proprietary tracking services. The system utilizes a PostgreSQL geospatial database to store coordinates, visits, and custom geofence boundaries. The project distinguishes itself as a geospatial data converter and visualization tool, capable of transforming location history between formats such as GPX, KML, and GeoJSON. It allows users to organize GPS tracks and geotagged photos into nam

Folium is a Python library that builds interactive Leaflet.js maps directly from Python data structures, enabling geographic data visualization in Jupyter notebooks or as standalone HTML pages. It creates maps centered on given coordinates with configurable zoom, tiles, and dimensions, and supports embedding those maps inside web routes for serving in browsers. The library provides a comprehensive set of tools for data-driven map creation, including choropleth maps that bind tabular data to geographic geometries, colormap application to markers and polygons, and GeoJSON data overlay and visua

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

heatmap.js is a JavaScript data visualization library used to render data density visualizations on a web page. It functions as an HTML5 canvas heatmap library that represents the intensity of data points across a coordinate system using color gradients. The library provides tools for geospatial distribution mapping and user behavior analysis, such as mapping click patterns and interaction hotspots. It is also used to add visual intensity layers to interactive data dashboards to identify trends and anomalies.

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

OpenCVSharp is a .NET library that wraps native OpenCV functions, providing C# developers with access to OpenCV's computer vision capabilities through an API that mirrors the native C/C++ style. It serves as a managed wrapper for image processing, feature detection, object detection, and image manipulation tasks, while also handling automatic disposal of unmanaged OpenCV resources like Mat objects to prevent memory leaks in .NET applications. The library enables keypoint detection and descriptor extraction using algorithms such as AKAZE, BRISK, or FAST, with brute-force or FLANN-based matchin

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

Cette bibliothèque de visualisation de données C++ est un framework de traçage scientifique utilisé pour créer des graphiques 2D et 3D, des graphes de réseau et des cartes géographiques. Elle fonctionne comme une bibliothèque graphique multi-backend, découplant la logique de traçage de haut niveau des moteurs de rendu de bas niveau pour prendre en charge divers backends de sortie. Le projet se distingue par une API à double interface, fournissant à la fois une interface fonctionnelle globale pour le prototypage rapide et une interface orientée objet pour un contrôle précis. Il dispose d'un moteur de mise en page basé sur des composants pour gérer les grilles tuilées et les sous-graphiques, ainsi qu'un état de tracé en couches qui permet de superposer plusieurs séries de données sans effacer les axes. La bibliothèque couvre un large éventail de capacités de visualisation, incluant le traçage de fonctions mathématiques, les champs vectoriels et l'analyse de données multidimensionnelles via des cartes thermiques et des coordonnées parallèles. Elle inclut des outils spécialisés pour la visualisation de données géographiques, tels que les graphiques geobubble et geodensity, ainsi que des outils pour le rendu de réseaux de graphes dirigés et non dirigés. Les capacités générales incluent la gestion des axes, le stylisme esthétique avec des colormaps et l'exportation de graphiques de haute qualité. Le projet utilise CMake pour l'automatisation de la construction et la récupération des dépendances afin de faciliter l'installation sur différents systèmes d'exploitation.

ChatLab is a self-hosted chat database and data pipeline designed to normalize, store, and analyze large-scale social conversation histories. It functions as an analytics platform that uses large language models to extract patterns and insights from messaging data imported from multiple platforms. The system distinguishes itself through an AI-powered analysis engine that utilizes vector-based history analysis and agent-based function calling to summarize conversation trends. It further identifies behavioral patterns by generating visual analytics, including heatmaps, word clouds, and activity

Ce projet est un analyseur de données de chaîne d'approvisionnement pharmaceutique et de santé publique conçu pour suivre la distribution historique et la qualité des produits médicaux à travers les juridictions régionales. Il fonctionne comme un outil de surveillance pour la distribution de vaccins, analysant les modèles d'approvisionnement et les variances de qualité au fil du temps. Le système convertit les enregistrements de ventes pharmaceutiques en cartes de chaleur régionales et en cartes de densité spatiale pour visualiser la concentration géographique de la distribution des produits. Il inclut un outil d'analyse de séries temporelles pour suivre le mouvement historique des produits et identifier les tendances de l'offre et de la demande régionales. Le logiciel traite les données via une agrégation et un partitionnement provinciaux, organisant les enregistrements de transactions en modèles relationnels pour lier les fournisseurs et les produits à des emplacements régionaux spécifiques. Il transforme les coordonnées de ventes brutes en données de densité compatibles avec les outils de cartographie de visualisation spatiale.

This project is a network reconnaissance framework and internet metadata database used for collecting, storing, and analyzing data from active scanners and passive traffic captures. It functions as a threat intelligence aggregator and passive traffic analysis tool, merging scan results from multiple tools into a unified dataset for security investigation. The system distinguishes itself through its ability to visualize network assets using heatmaps and geographic charts to correlate autonomous systems and domain names. It provides external attack surface management by aggregating metadata to

This project is a utility library for the Google Maps SDK for Android, providing a suite of specialized tools for rendering geospatial data, calculating spherical geometry, and visualizing map markers and heatmaps. It serves as a helper collection to handle complex geospatial tasks within Android applications. The library features a marker clustering tool to group nearby markers into single icons and a map data visualizer for generating heatmaps based on the intensity and distribution of geographic points. It also includes a polyline encoding tool for compressing coordinate sequences into com

Termgraph is a terminal data visualization library and command line analytics tool used to render bar charts, histograms, and heatmaps directly in the shell. It utilizes ANSI escape sequences and Unicode characters to generate colorful visual data representations within a text-based environment. The tool provides specialized capabilities for transforming raw datasets into horizontal or vertical bar graphs, column charts, and stacked charts. It also functions as a heatmap generator, mapping time-series data to a calendar layout to visualize temporal patterns over a year. The library supports

GarminDB is a local fitness data store and self-hosted health data archive designed to import, archive, and analyze health and activity metrics from Garmin accounts. It functions as a fitness data aggregator and metric analysis tool, maintaining a private database of health records for independent tracking and custom querying. The system features a GPS activity heatmap generator to visualize frequently traveled paths and a plugin system for integrating specialized third-party data fields and custom metrics. It employs a local-first persistence model that retains original source files on disk