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Source channel @githubtrending · Post #14714 · May 16

#go#compression#decompression#deflate#go#golang#gzip#snappy#zip#zstandard#zstd The "github.com/klauspost/compress" package offers many fast and efficient compression tools in pure Go, including zstandard, S2 (a faster Snappy replacement), optimized deflate for gzip/zip/zlib, and snappy with better compression and concurrency. It also provides entropy encoders (huff0, FSE), HTTP gzip handlers, and a parallel gzip implementation (pgzip). These tools are drop-in replacements for Go's standard libraries but run about twice as fast, saving time and resources. You can easily add it to your project with `go get`. It supports current and recent Go versions and offers options to disable unsafe code or assembly for compatibility. This package benefits you by improving compression speed and efficiency while maintaining compatibility with standard Go compression APIs, making your applications faster and more resource-friendly. https://github.com/klauspost/compress

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@githubtrending · Post #14657 · 05/01/2025, 02:30 PM

#c_lang#embedded#filesystem#microcontroller LittleFS is a file system designed for small devices like microcontrollers. It helps keep your data safe even if the power goes off suddenly. This is because it uses a "copy-on-write" system, which means it doesn't overwrite old data until the new data is safely stored. LittleFS also helps extend the life of your storage by spreading out writes across different areas, a process called wear leveling. This makes it very reliable and efficient for devices with limited memory and storage. https://github.com/littlefs-project/littlefs

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@githubtrending · Post #14879 · 06/28/2025, 02:30 PM

#cplusplus#cpp#hacktoberfest#iot#iot_device#iot_edge#microcontroller#microsoft_for_beginners#python#raspberry_pi#rpi You can learn the basics of the Internet of Things (IoT) through a free 12-week course with 24 lessons that guide you step-by-step in building real projects like plant monitoring, vehicle tracking, and smart cooking timers. Each lesson includes quizzes, instructions, challenges, and solutions to help you understand sensors, cloud connections, security, and AI on devices. The course uses real hardware or virtual options, making it easy to practice hands-on skills. This project-based learning helps you gain practical IoT knowledge useful for many industries, improving your tech skills and job readiness. https://github.com/microsoft/IoT-For-Beginners

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@githubtrending · Post #14878 · 06/28/2025, 02:00 PM

#cplusplus#arduino#cansat#csv#embedded#graph#ground_station#iot#microcontroller#network#projects#qt#serial#serial_studio Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5]. https://github.com/Serial-Studio/Serial-Studio

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@githubtrending · Post #14989 · 07/23/2025, 11:30 AM

#c_lang#bluetooth#bluetooth_le#embedded#embedded_c#iot#mcu#microcontroller#real_time#rtos#zephyr#zephyr_rtos#zephyros Zephyr is a free, open-source real-time operating system (RTOS) designed for small, resource-limited devices like sensors, wearables, and IoT gateways. It supports many hardware types such as ARM, Intel x86, and RISC-V, making it flexible for different projects. Zephyr is modular, so you can include only what you need, saving memory and power. It focuses on security with features like memory protection and secure boot. It also offers built-in networking and tools for easy development and testing. This helps you build reliable, fast, and secure embedded systems efficiently, especially for IoT and real-time applications[1][2][3]. https://github.com/zephyrproject-rtos/zephyr