Arduino Sensor And Display Libraries

This project is a robotics engineering knowledge base and learning curriculum. It serves as a structured collection of academic courses, textbooks, and technical guides for studying robotics, kinematics, and control systems. The repository functions as a hardware resource guide and prototyping directory. It provides a curated set of tutorials and setup manuals for microcontrollers, alongside DIY build guides and software tools for designing robot arms, drones, and mechanical simulators. The content covers a broad technical surface, including embedded systems learning, robot software tooling for CAD and machine learning, and technical robotics research involving mathematical foundations. It also includes practical guides for facial recognition and basics for single-board computers.

BetterDisplay is a comprehensive display management utility and virtual display engine designed to provide granular control over monitor configurations. It functions as a low-level hardware controller that interacts directly with graphics drivers and system APIs to override manufacturer limitations, enabling users to manage resolution, scaling, brightness, and color profiles across complex multi-monitor setups. The project distinguishes itself through its ability to generate synthetic virtual displays and inject custom framebuffers into the graphics pipeline, allowing for arbitrary resolutions and screen mirroring to specialized hardware. It provides advanced visual comfort features by manipulating GPU color tables and hardware-level settings to disable temporal dithering and mitigate pulse-width modulation flicker. These capabilities are supported by a robust automation toolkit that exposes display controls through command-line interfaces, network-accessible web requests, and system-wide notification buses. Beyond core configuration, the software facilitates workflow integration by allowing users to synchronize brightness across heterogeneous displays, calibrate HDR output, and automate settings through custom shortcuts or external scripts. It serves as a centralized hub for managing both physical hardware and virtual workspaces, ensuring consistent visual performance and display behavior across diverse environments.

This project is a Linux distribution build system and deployment framework designed to compile tailored Debian and Ubuntu server images for Amlogic ARM hardware. It functions as an operating system deployer and kernel builder, providing the tools necessary to flash system images to internal or external storage and manage boot configurations on ARM boards. The system includes a specialized build pipeline for compiling Linux kernels with hardware-specific patches and out-of-tree driver modules. It also features a dual-boot partition manager that enables the backup and restoration of original Android system partitions, allowing users to switch between different operating systems on the same device. Broadly, the project covers embedded system administration and server optimization. This includes managing virtual memory through swap partitions, tuning network TCP stacks for performance, and automating startup tasks via script-driven boot configurations. It also provides utilities for managing software repositories, updating kernels, and controlling hardware components like LED displays.

Openpilot is an open-source driver assistance system that integrates with vehicle control units to provide automated steering, acceleration, and braking. It functions as an automotive robotics middleware, utilizing a specialized runtime environment to process sensor data and execute real-time control commands that manage vehicle dynamics. The platform distinguishes itself through a hardware-agnostic interface that translates standardized driving commands into the proprietary protocols required by a wide range of vehicle makes and models. It employs neural-network-based path planning to predict trajectories from visual and historical data, while a deterministic control loop ensures high-frequency adjustments for vehicle stability. To maintain operational safety, the system incorporates an independent watchdog process that monitors performance and triggers immediate disengagement upon detecting anomalies. The software architecture relies on real-time sensor fusion to synchronize camera and radar inputs into a unified environmental representation. System components communicate via a message-based bus to facilitate low-latency data exchange between sensors and actuators, supported by a modular translation layer that enables integration with diverse automotive communication protocols.

WLED is a web-based firmware designed for ESP8266 and ESP32 microcontrollers to manage addressable LED strips and matrices. It functions as a comprehensive IoT lighting automation system, providing the tools to control individual pixels, define logical segments, and execute dynamic lighting effects. The platform supports a wide range of hardware configurations, including matrix panels and non-addressable LED arrays, while offering granular control over brightness, color palettes, and animation speed. The project distinguishes itself through its extensive support for networked orchestration and real-time synchronization. It enables multiple controllers to align their states over a local network, allowing for complex, multi-device lighting displays. Beyond standard control, it integrates with external media and audio sources to stream high-frequency data for reactive visual effects, and it supports DMX interfacing to bridge addressable LED hardware with professional lighting environments. The system includes a robust automation engine that triggers lighting changes based on time, solar events, physical sensors, or voice commands. Users can manage these configurations through a browser-based interface, which also facilitates remote firmware updates, filesystem management, and the creation of custom lighting effects. Security is addressed through configurable access controls, including password-protected settings and secure remote connectivity options. The software is distributed as firmware binaries that can be flashed directly to compatible hardware, with support for custom build configurations to accommodate specific pin assignments and connectivity requirements.

Ink is a declarative framework for building interactive command-line applications using a component-based architecture. It functions as a console renderer that maps component trees to terminal output buffers, allowing developers to manage stateful interfaces through standard component reconciliation. By translating high-level layout and style properties into terminal control codes, it enables the creation of responsive, dynamic interfaces within the console. The framework distinguishes itself by integrating a cross-platform layout engine that applies a flexible box model to the character-based grid, facilitating complex visual structures. It provides a low-level abstraction layer for raw input stream interception, which allows for granular handling of keystrokes and control sequences. This combination of a virtual terminal buffer and direct stream management ensures consistent behavior and visual presentation across different operating systems and terminal environments. Beyond its core rendering capabilities, the project supports a wide range of interface features including text styling, input handling, and lifecycle management. It includes mechanisms for capturing pasted content and notifying assistive technologies of screen updates to support accessibility. The framework manages the entire application lifecycle, ensuring that render output is fully flushed to the terminal during process exits.

Johnny-Five is a JavaScript robotics framework and microcontroller hardware interface designed for programming robots and IoT devices. It provides a standardized library for managing pins, motors, and displays across various microcontroller platforms, allowing developers to control sensors and actuators using a consistent JavaScript API. The framework is distinguished by its use of a plugin-based hardware abstraction system, which enables communication with diverse hardware platforms and protocols. It supports real-time hardware manipulation and debugging through a read-eval-print loop that allows for live object injection and function execution. The project covers a broad range of physical computing capabilities, including motor and actuator control for servos, steppers, and DC motors, as well as comprehensive sensing for environmental data, motion, proximity, and user input. It also includes tools for managing visual displays such as LCDs, LED matrices, and seven-segment displays, along with audio tone generation for piezo buzzers. The library handles hardware board initialization via automatic port detection or specified communication ports and supports the management of multiple boards within a single program.

Rich is a comprehensive library for building sophisticated command-line interfaces and terminal applications. It provides a robust console formatting engine and a layout framework that enables developers to render rich text, syntax-highlighted code, and complex data structures directly in the terminal. By utilizing a recursive constraint-based layout engine, the library allows for the creation of hierarchical grids, panels, and trees that maintain their structure even as terminal dimensions change. What distinguishes the library is its ability to manage persistent, real-time terminal interfaces through live display management and buffered stream handling. It offers granular control over output through a protocol-based rendering system, allowing developers to define custom representations for objects and manage complex visual arrangements. The library also includes a specialized diagnostic suite that automatically captures and transforms raw stack traces into human-readable, syntax-highlighted error reports, complete with local variable inspection. Beyond its core rendering capabilities, the library provides a suite of tools for data visualization and user interaction. This includes support for nested progress tracking, animated status indicators, and interactive input prompts. Developers can apply consistent visual branding across their applications using a centralized markup-based styling system, which supports reusable themes, color palettes, and text attributes for precise alignment and formatting. The library automatically detects the host terminal environment to ensure compatibility and visual consistency across different systems.

This project is a community-curated directory of resources, libraries, and tools designed to support developers working with the Flutter framework. It functions as a centralized knowledge base, organizing high-quality external references into a structured, human-readable format to assist in the discovery of technical materials for cross-platform application development. The directory distinguishes itself through a comprehensive index of the global Flutter ecosystem, including local user groups, meetups, and communication channels that connect developers to international support networks. It maintains a version-controlled, community-driven taxonomy that categorizes diverse technical resources into logical domains, ensuring that developers can efficiently locate relevant packages, architectural guides, and best practices. The collection covers a broad capability surface, ranging from foundational development tools and state management patterns to advanced topics like graphics rendering, testing frameworks, and backend integration. It also provides access to structured learning paths, including roadmaps, tutorials, and expert-led interviews, to help developers advance their technical proficiency. The repository is maintained as a static document, relying on distributed contributions and pull requests from the community to keep the index of tools and community groups current.

Hammer.js is a library for recognizing touch gestures in web applications. It functions as a unified interface that translates raw pointer, mouse, and touch inputs into a consistent stream of interaction data, allowing developers to detect patterns such as taps, swipes, and pans across different browsers and hardware. The library distinguishes itself through a modular architecture that uses configurable logic blocks to evaluate input streams against specific mathematical thresholds. It maintains an internal registry of active touch points to track complex multi-finger movements like pinching and rotating, while a state machine manages the lifecycle of these interactions to determine when a gesture is successfully completed. Beyond standard interactions, the library supports custom gesture handling and event delegation through the document object model. It provides a comprehensive set of event handlers that abstract away inconsistent input behaviors, enabling the creation of responsive interfaces that interpret finger movements on touch-enabled devices.

Anypixel is a web-to-hardware display framework and toolkit for building large-scale physical interactive screens and button walls. It provides a system for mapping HTML canvas graphics to physical LED arrays, combining a networked pixel controller with a management tool that translates web application data into electronic signals for microcontroller-driven display boards. The project features a browser-based hardware simulation environment that allows for testing interactive display logic, button events, and network communication without requiring physical components. This emulator enables the verification of visual experiences and hardware responses through a virtual representation of the installation. The toolkit covers the end-to-end process of interactive installation design, including electrical schematics, PCB layouts, and mechanical CAD files for custom LED hardware. It includes a communication bridge for data packet distribution, coordinate-based input routing for hardware buttons, and diagnostic tools for debugging input events via on-screen overlays.

PythonRobotics is a comprehensive collection of modular robotics algorithms and educational simulations designed for autonomous navigation, state estimation, and motion control. The project provides a library of standalone implementations for path planning, localization, mapping, and kinematics, serving as a resource for researchers and students to experiment with foundational and advanced robotic theories. The project distinguishes itself through an algorithm-centric design where each module functions as an isolated script, allowing for independent testing and clear pedagogical demonstration. Every implementation is explicitly mapped to academic literature or foundational robotics textbooks, ensuring that the mathematical models and control strategies remain verifiable and accurate. Users can execute these scenarios within a decoupled simulation environment that maintains its own internal state and control loops, requiring no external dependencies. The capability surface covers a broad range of robotic domains, including aerial navigation, bipedal locomotion, and multi-joint arm control. It features extensive toolkits for probabilistic sensor fusion, environmental mapping, and trajectory tracking, all powered by high-performance numerical computation. Real-time geometric animations and state estimations are rendered directly from simulation data using standard plotting libraries.

ArduinoJson is a C++ library for parsing and manipulating JSON data and MessagePack binary streams on microcontrollers with limited memory and processing power. It provides the core primitives necessary for embedded data serialization and parsing, enabling devices to exchange structured data over serial or network interfaces. The library is distinguished by its focus on microcontroller memory management, employing strategies such as pool-based allocation, string deduplication, and non-owning string views to minimize RAM usage. It further optimizes for constrained environments by allowing constant strings to be read directly from program flash memory and providing filter-based deserialization to discard unwanted keys during parsing. Beyond basic parsing, the project covers a broad range of capabilities including stream-based I/O for handling large documents, binary data exchange via MessagePack, and persistence mechanisms for saving documents to EEPROM or filesystems. It also includes utilities for data extraction with implicit type casting, document construction, and integration with network protocols like HTTP and UDP. The library supports project management via CMake and provides platform-specific I/O support to integrate with target hardware.

This project provides a desktop-based interface for remote control and screen mirroring of Android devices. It functions by establishing a persistent, multiplexed communication channel over the Android Debug Bridge, allowing for the transmission of raw binary data streams between a host computer and a connected mobile device. The tool distinguishes itself by injecting a lightweight binary into the mobile runtime to access system-level APIs for direct screen buffer capture and input event injection. By translating desktop mouse and keyboard signals into native Linux kernel events, it enables responsive interaction with the mobile interface without the overhead of hardware emulation. It further ensures performance through hardware-accelerated video decoding on the host and synchronized audio-visual streaming, which maintains temporal alignment between the device output and the desktop display. Beyond basic mirroring, the project supports comprehensive remote device management and debugging workflows. It utilizes zero-copy capture techniques and socket-based binary transport to minimize latency, facilitating tasks such as mobile application quality assurance and real-time hardware monitoring. The software is distributed as a command-line utility that operates across multiple desktop platforms.

This repository is a comprehensive collection of reference implementations and sample libraries for the Universal Windows Platform. It provides practical examples of how to use Windows Runtime APIs to build cross-device applications, including detailed guidance on XAML-based declarative user interfaces and DirectX-integrated rendering. The project distinguishes itself by providing a wide array of hardware integration suites, covering low-level communication with USB, Serial, I2C, SPI, and GPIO peripherals. It includes specialized implementations for mixed reality holographic rendering, advanced digital inking, and computer vision tasks such as real-time face tracking and barcode scanning. The codebase covers a broad surface of system capabilities, including adaptive media streaming, biometric authentication, and background task management. It also demonstrates the use of linguistic services for text analysis, globalization tools for regional formatting, and persistent storage strategies for application data. The repository serves as a practical implementation guide for the Windows SDK, providing a library of samples for building responsive interfaces and integrating system-level services.

Librepods is a cross-platform hardware controller that functions as a Bluetooth audio protocol interceptor. It provides a unified software layer to manage device-specific settings and connectivity features across various desktop and mobile operating systems, acting as a configuration tool for hardware-level sound parameters. The project distinguishes itself through a vendor identity emulation layer that masks hardware signatures to bypass authentication checks. By intercepting and modifying low-level Bluetooth handshake packets and spoofing device identifiers, it enables access to restricted platform features and proprietary settings that are typically locked to specific manufacturer ecosystems. Beyond identity emulation, the software facilitates multi-device audio management by allowing hardware to connect to multiple sources simultaneously. It includes capabilities for real-time audio stream interception, which enables the injection of signal processing filters to adjust noise reduction, transparency, and frequency response based on user-defined profiles. The system also supports runtime modification of firmware-bound configuration structures to unlock hidden hardware features.

This project provides a collection of instructional guides and tutorials for Android app development, native mobile application creation, and computer science education. It focuses on building native applications through step-by-step implementation, covering the development of user interfaces and the integration of system hardware and permissions. The material extends into broader technical domains, including the study of fundamental data structures and algorithms for technical interview preparation. It also covers cybersecurity fundamentals, such as identifying web vulnerabilities and implementing cryptographic controls, alongside native iOS development guides using Swift and UIKit. The guides encompass a wide range of capabilities, including mobile user interface design for responsive layouts, mobile application testing through UI automation and mocking, and the management of local data storage and network API integrations. The repository serves as a learning resource for software development, covering topics from frontend web architectures to the publication of completed applications to app stores.

Stats is a system performance monitor that tracks real-time hardware metrics and resource usage directly from the operating system menu bar. It functions as a hardware control interface, allowing users to adjust fan speeds and thermal settings to maintain optimal performance levels for computing hardware. The application distinguishes itself through kernel-level sensor polling, which retrieves telemetry by interfacing directly with low-level system drivers and power management APIs. It provides remote infrastructure oversight via a web-based telemetry dashboard, enabling users to view live performance statistics for connected computers from any standard internet browser using persistent network connections. The tool includes a modular plugin architecture that allows for the selective disabling of background monitoring tasks to optimize resource usage and reduce energy consumption. It also features cross-platform hardware abstraction to normalize sensor data across different processor architectures, ensuring consistent display and control. Users can customize their experience through local-first configuration persistence and the ability to reorder menu bar icons. The software also integrates with external services to perform automatic update checks and retrieve network connectivity information.

This project is a comprehensive reference guide and directory of web browser capabilities. It serves as a technical map for accessing native operating system functions, hardware interfaces, and standard web APIs to bridge the gap between web applications and desktop or mobile environments. The resource provides detailed guidance on implementing Progressive Web App features, including offline caching, push notifications, and native installation prompts. It also catalogs methods for interacting with hardware peripherals via USB, Bluetooth, and NFC, as well as reading raw data from device sensors like accelerometers and gyroscopes. The directory covers several high-level capability areas, including web media processing for audio synthesis and video playback, real-time peer-to-peer networking, and system integration for managing clipboards, file systems, and OS-level user preferences. It also includes specifications for handling native authentication, credential management, and payment interfaces.

D3 is a modular library providing low-level primitives for creating data-driven visualizations. It functions as a flexible framework that allows for direct control over visual presentation by mapping abstract data dimensions to graphical properties, such as position, color, and size, without imposing predefined chart abstractions. The library distinguishes itself by offering specialized tools for complex data representation, including algorithmic layouts for hierarchical structures and geographic projection utilities for mapping spherical coordinates. It also includes a comprehensive suite for managing user interactions, enabling the creation of interactive selection areas that respond to mouse and touch input. Beyond visualization, the project provides a collection of utilities for document manipulation and data processing. These tools allow developers to query elements, apply data-driven transformations, and perform operations such as ordering, grouping, and summarizing datasets to prepare them for rendering in vector or bitmap contexts.