Open Source Mac Raspberry Pi Software
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Raspberry Pi Software for Mac
View 734 business solutionsBrowse free open source Raspberry Pi software and projects for Mac below. Use the toggles on the left to filter open source Raspberry Pi software by OS, license, language, programming language, and project status.
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PINN
PINN is an enhancement of NOOBS
PINN is an enhancement of NOOBS for the Raspberry Pi. It allows the installation of MULTIPLE OSes on the same SD/HDD/SSD device with an OS chooser when booting. Built-in Admin tools allow you to backup & restore your OSes and fix OS problems by including basic disk checking, password changing, and a command shell. -
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balenaEtcher
A safe way to flash OS images to SD cards & USB drives
Etcher is a powerful OS image flasher. It protects a user from accidentally overwriting hard-drives by making drive selection obvious; and with validated flashing there is no more writing images to corrupted drives. It is also called balenaEtcher since it is developed by balena. In addition, balenaEtcher can flash directly Raspberry Pi devices that support usbboot. Use for .iso and .img files, as well as zipped folders to create live SD cards and USB flash drives. Written with Electron for cross platform use (windows, macOS, and Linux). -
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Iperf 2
A means to measure network responsiveness and throughput
Iperf here is a means of measuring networks - capacity & latency (including ECN) over sockets both TCP and UDP. The goals include maintaining an active iperf code base across a broad set of platforms and operating systems. This is a multi-threaded design that scales with the number of CPUs or cores within a system. It supports both high impact and low impact techniques to obtain and report network performance. Current release: 2.2.1, Nov 4th, 2024 About iperf 2 and iperf3: Read about the differences between these programs at https://iperf2.sourceforge.io/IperfCompare.html Man page: https://iperf2.sourceforge.io/iperf-manpage.html Android version: https://play.google.com/store/apps/details?id=iperf.project -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples. whisper.cpp supports integer quantization of the Whisper ggml models. Quantized models require less memory and disk space and depending on the hardware can be processed more efficiently. -
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sherpa-onnx
Speech-to-text, text-to-speech, and speaker recognition
Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter. -
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Universal G-Code Sender
A cross-platform G-Code sender for GRBL, Smoothieware, etc.
A full-featured gcode platform used for interfacing with advanced CNC controllers like GRBL , TinyG, g2core and Smoothieware. Universal Gcode Sender is a self-contained Java application that includes all external dependencies and can be used on most computers running Windows, MacOSX or Linux. With older versions of GRBL UGS is pretty reliable when it comes to jogging, but there are limitations. With GRBL 1.1 this is no longer the case when using the new JOG MODE syntax. This first-class jog mode guarantees the GCODE state will be unaltered and also allows you to stop a jog while it is in progress. UGS uses this new syntax automatically when it detects a version of GRBL which supports it. -
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Snap7
32/64 bit multi-platform Ethernet S7 PLC communication suite
Snap7, through three specialized components: Client and the inedited Server and Partner, allows you to definitively integrate your PC based systems into a PLC automation chain. Designed to transfer large amounts of hi-speed data in industrial facilities, it scales easily, down to small Linux Arm boards such as Raspberry PI. Hi level object oriented wrappers are provided, currently C/C++, .NET/Mono, Pascal, LabVIEW, Python with many source code examples. Very easy to use, a full working server example is not bigger than the “Hello world”. Many projects/makefiles are ready to run to easily rebuild Snap7 in any platform without the need of be a C++ guru. Very detailed documentation provided. -
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XBian
XBian is a small, fast and lightweight media center linux distro
XBian is a free, Open Source media center distribution for mini computers (currently Raspberry Pi, Solidrun's CuBox-i/Hummingboard supported). It can be downloaded at http://www.xbian.org. Our slogan is "bleeding edge" as our main focus is delivering the fastest media center solution. We believe that everyone can help make XBian better. Please visit our website for support and if you have suggestions, wishes or contributions, please share them with us! Want more info about XBian? You can read everything about it here: http://www.xbian.org/what-is-xbian/ -
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CNCjs
A web-based interface for CNC milling controller running Grbl, Marlin,
A web-based interface for CNC milling controller running Grbl, Smoothieware, or TinyG. It runs on a Raspberry Pi or a laptop computer that you have Node.js installed, connecting to the Arduino over a serial connection using a USB serial port, a Bluetooth serial module, or a Serial-to-WiFi module like XBee or USR-WIFI232-T. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Node-RED
Low-code programming for event-driven applications
Node-RED is a programming tool for wiring together hardware devices, APIs and online services in new and interesting ways. It provides a browser-based editor that makes it easy to wire together flows using the wide range of nodes in the palette that can be deployed to its runtime in a single-click. Node-RED provides a browser-based flow editor that makes it easy to wire together flows using the wide range of nodes in the palette. Flows can be then deployed to the runtime in a single-click. JavaScript functions can be created within the editor using a rich text editor. A built-in library allows you to save useful functions, templates or flows for re-use. The light-weight runtime is built on Node.js, taking full advantage of its event-driven, non-blocking model. This makes it ideal to run at the edge of the network on low-cost hardware such as the Raspberry Pi as well as in the cloud. -
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EtchDroid
An application to write OS images to USB drives, on Android
EtchDroid is an open-source application that writes disk images to USB drives. Use it to make a bootable operating system USB drive when your laptop is dead. -
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DragonOS_Pi64
SDR Focused Distribution for the Raspberry Pi
***** Requires a 32GB or larger SD card ****** Default Username = dragon Default Password = dragon Recommend running the SDRPlay API installer located under "other". DragonOS Pi64 is an out-of-the-box aarch64 Raspberry Pi (Debian 13) based operating system for anyone interested in software defined radios. All source installed software is located in the /usr/src directory while the remaining software was installed by package managers. Should support: HackRF RTLSDR Airspy LimeSDR Ettus/USRP BladeRF Yardstick One SDRPlay Ubertooth PlutoSDR AntSDR And other SDRs, Hardware, etc. -
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RtspSimpleServer
ready-to-use RTSP / RTMP / LL-HLS / WebRTC server and proxy
rtsp-simple-server is a ready-to-use and zero-dependency server and proxy that allows users to publish, read and proxy live video and audio streams. Publish live streams to the server Read live streams from the server. Proxy streams from other servers or cameras, always or on-demand. Streams are automatically converted from a protocol to another. For instance, it's possible to publish a stream with RTSP and read it with HLS. Serve multiple streams at once in separate paths Authenticate users; use internal or external authentication. Redirect readers to other RTSP servers (load balancing) Query and control the server through an HTTP API. Reload the configuration without disconnecting existing clients (hot reloading) Read Prometheus-compatible metrics. Run external commands when clients connect, disconnect, read or publish streams. Natively compatible with the Raspberry Pi Camera. Compatible with Linux, Windows and macOS, does not require any dependency or interpreter. -
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snakeware
A free Linux distro with a Python-based userspace
snakeware is a free Linux distro with a Python userspace inspired by the Commodore 64. You are booted directly into a Python interpreter, which you can use to do whatever you want with your computer. -
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avbuild
ffmpeg build tool and prebuilt packages for all platforms
iOS, android, raspberry pi, windows store, windows desktop, linux, macOS etc. Multiple toolchains support, include gcc, clang, vs2013, vs2015, vs2017. Hardware accelerated decoders and encoders support. Source code: https://github.com/wang-bin/avbuild -
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Udp2raw-tunnel
Turns UDP traffic into encrypted UDP/fakeTCP/ICMP traffic
A tunnel which turns UDP traffic into encrypted fakeTCP/UDP/ICMP traffic by using Raw Socket, helps you bypass UDP FireWalls(or unstable UDP environment). When used alone, Udp2raw tunnels only UDP traffic. Nevertheless, if you used udp2raw + any UDP-based VPN together, you can tunnel any traffic(include TCP/UDP/ICMP), currently, OpenVPN/L2TP/ShadowVPN and tinyfecVPN are confirmed to be supported. Linux host (including desktop Linux,Android phone/tablet,OpenWRT router,or Raspberry PI) with root account or cap_net_raw capability. ICMP/FakeTCP headers help you bypass UDP blocking, UDP QOS or improper UDP NAT behavior on some ISPs. In ICMP header mode,udp2raw works like an ICMP tunnel. UDP headers are also supported. In UDP header mode, it behaves just like a normal UDP tunnel, and you can just make use of the other features (such as encryption, anti-replay, or connection stalization). -
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KB1OIQ - Andy's Ham Radio Linux
Install ham radio software on Debian Live, RPi OS, or Ubuntu Linux
Latest Version: - Version 26e: November 2025 Version 26 ======== Version 26 can be installed on top of Debian Live, Raspberry Pi OS, or any supported flavor of Ubuntu Linux. The supported Linux flavors are listed in the GETTING_STARTED document. An installation script does all of the work. Please download and READ the installation instructions: https://sourceforge.net/projects/kb1oiq-andysham/files/v26e/GETTING_STARTED Watch a video of Andy (KB1OIQ) as he talks about AHRL during a ham radio convention in MA in the summer of 2025: https://www.youtube.com/watch?v=hwuKZK1dKcU&t=2086s Several videos of Andy's complete AHRL presentation can be found on YouTube. Here is one made in March 2026: https://youtu.be/xv9YnREmeAA?si=yMTX8yJsQFyeJG0i -
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CEF4Delphi
CEF4Delphi is an open source project to embed Chromium-based browsers
CEF4Delphi is an open source project to embed Chromium-based browsers in applications made with Delphi or Lazarus/FPC for Windows, Linux and MacOS. CEF4Delphi is based on DCEF3 and fpCEF3. The original license of those projects still applies to CEF4Delphi. Read the license terms in the LICENSE.md file. CEF4Delphi was developed and tested on Delphi 12.1 and it has been tested in Delphi 6, Delphi XE, Delphi 10, Delphi 11 and Lazarus 3.4/FPC 3.2.2. CEF4Delphi includes VCL, FireMonkey (FMX) and Lazarus components. -
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FreeJ2ME
A J2ME emulator for Windows, Linux, and Raspberry Pi
FreeJ2ME is a simple J2ME emulator with a focus on old mobile phone games. It was designed to run on Windows, desktop Linux, and on the Raspberry Pi 3 using Libretro and Retroarch as provided by RetroPie. It supports some games not playable using MicroEmulator and Kemulat0r, though it does not support every game those play. At the moment, it's best to have all three if you're interested in those types of games. Some games only run at specific resolutions. Per-game configuration is available from the menu (by pressing esc). Preferences are saved and will automatically load. Games automatically scale with the window size, making it easy to play games designed for smaller screen sizes. The Java portion can be built using Apache Ant with the build.xml file provided. The Libretro core can be built using the build.sh script. Installation instructions for the Libretro core for RetroPie are included. Follow the development process here: https://github.com/hex007/freej2me -
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Binance Trading Bot
Automated Binance trading bot, trade multiple cryptocurrencies
Automated Binance trading bot. Trade multiple cryptocurrencies. Buy low/sell high with Grid Trading. Integrated with TradingView technical analysis. This bot is using the concept of trailing buy/sell order which allows following the price fall/rise. Trailing Stop Orders About Trailing Stop Orders Concept you can find at Binance Official document. Place orders at a fixed value or percentage when the price changes. Using this feature you can buy at the lowest possible price when buying down and sell at the highest possible price when selling up. The bot supports multiple buy/sell orders based on the configuration. The bot is using MongoDB to provide a persistence database. However, it does not use the latest MongoDB to support Raspberry Pi 32bit. Used MongoDB version is 3.2.20, which is provided by apcheamitru. The bot is tested/working with Linux and Raspberry Pi 4 32bit. Other platforms are not tested. -
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Home Assistant
Open source home automation that puts local control and privacy first
Home Assistant is a powerful open source home automation app that prioritizes local control and privacy. It offers great security and features while keeping your data securely out of the cloud. It can give you control of all your devices from a single, mobile-friendly interface and will track the state of all these devices so you don’t have to. Home Assistant is powered by a worldwide community and runs ideally on a Raspberry Pi or a local server. It can be set up to automatically control devices, so whether you want to be alerted when the lights turn on when you’re not at home, or want the lights to automatically dim when you start to watch a movie on Chromecast, Home Assistant can do it for you. See more examples on the official website: https://www.home-assistant.io/ -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
The challenge is to run Stable Diffusion 1.5, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which at the cost of RAM usage. So I decided to write a super small and hackable inference library specifically focused on minimizing memory consumption: OnnxStream. OnnxStream is based on the idea of decoupling the inference engine from the component responsible for providing the model weights, which is a class derived from WeightsProvider. A WeightsProvider specialization can implement any type of loading, caching, and prefetching of the model parameters. -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. It could even do real-time face recognition and blur faces on videos when used with other Python libraries. -
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TFT_eSPI
Arduino and PlatformIO IDE compatible TFT library
An Arduino IDE compatible graphics and fonts library for 32-bit processors. The library is targeted at 32-bit processors, it has been performance-optimized for STM32, ESP8266 and ESP32 types. The library can be loaded using the Arduino IDE's Library Manager. Direct Memory Access (DMA) can be used with the ESP32, RP2040, and STM32 processors to improve rendering performance. "Four wire" SPI and 8 bit parallel interfaces are supported. Due to the lack of GPIO pins, the 8-bit parallel interface is NOT supported on the ESP8266. 8 bit parallel interface TFTs (e.g. UNO format mcufriend shields) can use with the STM32 Nucleo 64/144 range or the UNO format ESP32. ILI9341 and ST7796 SPI-based displays are recommended as starting points for experimenting with this library. The library supports some TFT displays designed for the Raspberry Pi (RPi) that are based on a ILI9486 or ST7796 driver chip with a 480 x 320-pixel screen. -
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ShellHub
Get seamless remote access to any Linux device
ShellHub is a centralized SSH gateway that allows users to remotely access and manage their servers and devices from anywhere, using a web browser or a mobile app. It provides a secure and convenient way to connect to and control your servers and devices and can help to improve the security of your servers by preventing unauthorized access. ShellHub incorporates the use of Docker containers to facilitate the integration of new devices into the platform, simplifying configuration. ShellHub uses the SSH communication protocol to allow data exchange with the guarantee of privacy and integrity. Support multiple devices connected at the same time, different networks, and integration with architectures, including ARM (32 and 64 bits), which is used in most embedded devices, like Raspberry Pi, and i.MX6.
