Open Source JavaScript Hardware Platforms for Linux

Asuswrt-Merlin is a third party firmware for select Asus wireless routers. Based on the Asuswrt firmware developed by Asus, it brings tweaks, new features and other improvements to the original firmware, while retaining its performance and ease of use. Note that only downloads are hosted on SF.net - the complete source code can be found on https://github.com/RMerl/asuswrt-merlin (legacy 380.xx) and https://github.com/RMerl/asuswrt-merlin.ng (382 and newer releases).

This repository contains the source code of the Arduino IDE 2.x, which is currently in the beta stage. The Arduino IDE 2.x is a major rewrite, sharing no code with the IDE 1.x. It is based on the Theia IDE framework and built with Electron. The backend operations such as compilation and uploading are offloaded to an arduino-cli instance running in daemon mode. This new IDE was developed with the goal of preserving the same interface and user experience of the previous major version in order to provide a frictionless upgrade. If you need assistance, see the Help Center and browse the forum. If you think you found a vulnerability or other security-related bug in this project, please read our security policy and report the bug to our Security Team. The builds are generated every day at 03:00 GMT from the main branch and should be considered unstable.

GeigerLog is a combination of data logger, presenter, and analyzer, and is now released in version 2.1! Based on Python (Version 3), it runs on Linux, Windows, Macs, Raspberry Pi, and other. GeigerLog is WiFi-enabled for servers and clients; it can be monitored by SmartPhone. Initially developed for Geiger counters, it is now a more universal tool, which equally well handles data like temperature, air-pressure, humidity, CO2. Continues to support Geiger counters like GQ Electronic's GMC-300/500/600 , RadMon, RadPro, Gamma-Scout, audio-click and other low-cost Geiger counters, IoT devices, I2C based sensors, GQ EMF devices. GeigerLog reads data from devices, saves them to databases, prints to screen and plots as auto-updated, customizable graphs. Quality control using Statistics, Scatter, Poisson, FFT & Autocorrelation, and more. Gamma Spectra - can be displayed, calibrated, and evaluated in GeigerLog! The Raspberry Pi 4, 5 qualify as GeigerLog hosts.

The MongoDB Node.js driver allows Node.js applications to connect to MongoDB and work with data. The driver features an asynchronous API which allows you to interact with MongoDB using Promises or via traditional callbacks. Whether you are new to MongoDB or you just want to brush up on the core concepts, you can check out the Fundamentals section which features material on using the Node.js driver. The connection URI is the set of instructions that the driver uses to connect to a MongoDB deployment. It instructs the driver on how it should connect to MongoDB and how it should behave while connected. The Authentication Mechanisms guide contains sample connection code using each authentication mechanism supported in the MongoDB Community Edition. The Node.js driver uses the asynchronous Javascript API to communicate with your MongoDB cluster. Asynchronous Javascript allows you to execute operations without waiting for the processing thread to become free.

phpSysInfo is a customizable PHP Script that parses /proc, and formats information nicely. It will display information about system facts like Uptime, CPU, Memory, PCI devices, SCSI devices, IDE devices, Network adapters, Disk usage, and more.

To kill a port, prefix it with a colon. For example: :8080. Run without arguments to use the interactive interface. Run fkill without arguments to launch the interactive UI. Force kill processes that did not exit within the given number of milliseconds. Kill all child processes along with the parent process. (Windows only). Ignore capitalization when killing a process. Note that the case is always ignored on Windows. Suppress all error messages. For example: Process doesn't exist.

Facilino is a Block programming environment for Arduino. Discover the great functionalities included in Facilino: Bluetooth Robot control IoT DYOR METEO

An OpenSource software (ApaciLinux) that allows to run a PHP Server to control a device connected through the serial port

Your own portable PC system built by integrating existing Open Source components. This mobile metasystem utilizes the internet's web hosting resources and is accessed via any web browser enabled appliance from your home, work, school, library, cafes, etc.

OS independent RS232 remote control. Java-based server (console), easy adjustable HTML GUI, local/internet use, incl. device driver API and drivers (e.g. EIKI LC-XM1/SM1/VM1!!)

This project is about a light controlling system with a 4 RGB-LED channels to run different modes: • autonomously w/o PC performing HSI2RGB transformations and running through the color hues (with dimmable brightness) • remote operated by PC or embedded user software using the provided C++ Software library (based on Boost libraries) • ideal platform for color experiments with your RaspberryPi The system consists of 4 layers: • PCB with Atmel ATmega16 and FT232RL USB interface (Eagle forat) • Firmware for applying PWM, UART communication and integrated colorspace transformations (AVR-ASM) • C++-Software for providing a HTTP-Server, a Dreambox picture grabber and basic light sequence player • HTML5/JavaScript application for remote controlling and configuring the system via Webbrowser Please use the SVN browser for accessing the whole development snapshot and getting an current tarball!

This HTML utility allows the user to select standard color codes or surface mount numbers, then it identifies the resistor value. There is no need to memorize color codes or multipliers. An online working example of this program can be used at ZoomAviation.com/programs.

Scalene is a high-performance CPU, GPU and memory profiler for Python that does a number of things that other Python profilers do not and cannot do. It runs orders of magnitude faster than other profilers while delivering far more detailed information. Once Scalene has profiled your program, it will launch a web browser with an interactive user interface (all processing is done locally). Hover over bars to see breakdowns of CPU and memory consumption, and click on underlined column headers to sort the columns. Scalene is fast. It uses sampling instead of instrumentation or relying on Python's tracing facilities. Its overhead is typically no more than 10-20% (and often less). Scalene performs profiling at the line level and per function, pointing to the functions and the specific lines of code responsible for the execution time in your program. Scalene separates out the percentage of memory consumed by Python code vs. native code.