Open Source Python Raspberry Pi Software for Mac
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Python Raspberry Pi Software for Mac
View 732 business solutionsBrowse free open source Python Raspberry Pi Software for Mac and projects below. Use the toggles on the left to filter open source Python Raspberry Pi Software for Mac by OS, license, language, programming language, and project status.
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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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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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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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GeigerLog
Python program for Geiger counters and Environmental Sensors
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. -
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speedtest-cli
Command line interface for testing internet bandwidth using speedtest
Command line interface for testing internet bandwidth using speedtest.net. It is not a goal of this application to be a reliable latency reporting tool. Latency reported by this tool should not be relied on as a value indicative of ICMP style latency. It is a relative value used for determining the lowest latency server for performing the actual speed test against. Speedtest CLI brings the trusted technology and global server network behind Speedtest to the command line. Measure internet connection performance metrics like download, upload, latency and packet loss natively without relying on a web browser. Test the internet connection of your Linux desktop, a remote server or even lower-powered devices such as the Raspberry Pi with the Speedtest Server Network. Set up automated scripts to collect connection performance data, including trends over time. -
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NebiOS Alternative Mirror (Official)
An Ubuntu Linux-based OS that aims to end user.
NebiOS is Ubuntu-based secure, privacy-focused universal OS for daily life, creativity, gaming & more. Official mirror - use if main site has download issues. Main site: https://nebios.org ⚠️ DON'T DOWNLOAD FROM UNKNOWN SOURCES! 🛡️ Privacy: NebiOS has no telemetry, no background data services, no tracking daemons, and cannot send any personal data without user action. Full policy: nebisoftware.com/legal/privacy.html === 🚀 NebiOS X out now! ⚠️ Note on Virtual Machines: NebiOS X is optimized and designed for real hardware performance and native GPU acceleration. Virtualization platforms (VMware, VirtualBox, GNOME Boxes, etc.) may show degraded graphics or system performance. For accurate testing, please install NebiOS X on physical hardware. === System Requirements and informations about before installation can be found at https://nebios.org/download (select your version for it) -
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CommanderPi
Easy RaspberryPi4 GUI system managment
Easy Raspberry Pi 4 GUI system manager. -
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DeepSpeech
Open source embedded speech-to-text engine
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page. -
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Mirrorcast
Open Source Alternative to Chromecast, Mirror Desktop and Play media r
The idea is to replicate what Chromecast can do in regards to screen mirroring and streaming media to a remote display. Google chromes screen mirroring feature works well when used with a receiver such as Chromecast but this is a proprietary solution and audio does not work for desktop mirroring on some operating systems. At the moment, there is only a client for Debian/Ubuntu Operating systems and a server/receiver application for Raspberry pi. Mirrorcast aims to be a low latency screen mirroring solution with high-quality video and audio at 25-30fps, the later is why we will not use something like VNC. Mirrorcast uses up about the same amount of system resources as google chromes cast feature. The delay is less than 1 second on most networks. To achieve this we will use existing FOSS software such as ffmpeg, mpv, and omxplayer. -
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PyBoy
Game Boy emulator written in Python
It is highly recommended to read the report to get a light introduction to Game Boy emulation. But do be aware, that the Python implementation has changed a lot. The report is relevant, even though you want to contribute to another emulator or create your own. If you are looking to make a bot or AI, you can find all the external components in the PyBoy Documentation. There is also a short example on our Wiki page Scripts, AI and Bots as well as in the examples directory. If more features are needed, or if you find a bug, don't hesitate to make an issue here on GitHub, or write on our Discord channel. If you need more details, or if you need to compile from source, check out the detailed installation instructions. We support: macOS, Raspberry Pi (Raspbian), Linux (Ubuntu), and Windows 10. -
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TensorFlow Documentation
TensorFlow documentation
An end-to-end platform for machine learning. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. -
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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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Wagtail
A Django content management system focused on flexibility & UX
Wagtail is a powerful, open source content management system that’s focused on flexibility and user experience. Built on Django, Wagtail offers precise control and flexibility for designers, developers and editors. Designed by developers for developers, Wagtail plays nicely with everything else in your tech stack so you can do more and focus on perfecting your site. Designers will find Wagtail’s simple templating system ideal for building beautiful websites just the way they want, without any CMS constraints. Editors can create beautiful, modular streams of content that they can create once and publish everywhere. Simply put, it’s the CMS that makes everyone happy! -
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Filt8- v3.6 alerts for WSJT-X FT8
Alert and filter QSO for WSJT-X FT8 FT4
THIS VERSION HAS A TABLE VIEW FOR SYSTEMS THAT DO NOT SUPPORT LARGE GRAPHIC DISPLAYS SUCH AS LOW-END LAPTOPS. CHECK OUT ft8mapper FOR BETTER GRAPHICS AND GRID TRACKING. Filt8 - v3.6 release - Requires Python 3.x (3.10 or higher on Mac) Scrollable maps for small screens State data as of Feb 25, 2024. Map saves settings. Map features: filter by band, click to Lookup. Offline Maps to show station grid locations as you decode them in real-time (Check out js8mapper project on https://sourceforge.net/projects/js8map/ for this same option for JS8Call) Map feature allows filtering by band, listings by callsigns or grids, and callsign lookups via QRZ or HamCall (this requires Internet). Filters & alerts WSJT-X FT8 and FT4 output for Mac/Linux/Win. Like JTAlert but minimalist and cross-platform. Works on low end systems such as Raspberry PI or laptop with minimal config, no internet required. Written in Python Problems? Email us at snitch.lyric0z@icloud.com -
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KeexyBox
The box to keep the Internet under your control
KeexyBox allows you to do parental control, block ads, limit telemetry, and browse the Internet anonymously from your home network without installing any software on your devices. It also can be used to create a public wireless access point with the captive portal. It is a software program which requires a Raspberry PI box and which is installed on Raspbian. It constitutes a cut-off point between your devices (computers, tablets, smartphones, etc.) and your router or Internet box. KeexyBox acts as a default gateway and DNS server for the devices in your home network. It thus intercepts all connections to the Internet to carry out website filtering or to activate browsing via the Tor anonymity network according to connection profiles which you have configured. -
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openWrt-snort
Image of OpenWrt OS, with snort community featured in.
Image of OpenWrt OS, with snort community featured in, for Raspberry Pi 4/ 4B+ and 400, basically for Processor BCM2711. Installed Snort Community Model to Intrusion Detection system. Prevention system not installed. eth0 used as output/ LAN socket, to run internet and access router. eth1, which can be USB -> Ethernet port, is used as WAN port, to connect Pi board to Internet IP. to flash img file, you can restore in SD card, or use Balena Etcher to flash. or you can use DD commend of UNIX. **USERNAME** - root **PASSWORD** - bing.google12 -
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iHome by ionware
iHome Smart Home System Platform
iHome is a fully tested Smart Home Automation system using the Raspberry Pi Zero WiFi SBC and Linux OS and has all the functional features of NEST or ECOBEE smart thermostats with the added benefit of full privacy and security at less than half the price! It incorporates MBLogic with algorithms and Modbus coms for HVAC home control via the ionware modbus compatible ionC1 input/output controller board. The iHome software system comes fully configured as a SD Card image file for Raspberry Pi Zero wifi Plug and Play capability complete with MBLogic, Node-RED and MQTT already fully installed and ready to go. See wiki instructions to burn the SD Card image file, insert into your RPi Zero and Plug and Play. The iHome is an Internet of Things (IOT) demo project for the ionware ionC1 hardware and the software system and is a complete SCADA platform c/w Modbus TCP Servers and Modbus RS485 serial clients for scalable building automation projects. See - ionware.io/free-offer/ -
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AWS IoT Device SDK v2 for Python
Next generation AWS IoT Client SDK for Python
Next-generation AWS IoT Client SDK for Python using the AWS Common Runtime. This document provides information about the AWS IoT Device SDK v2 for Python. This SDK is built on the AWS Common Runtime, a collection of libraries (aws-c-common, aws-c-io, aws-c-mqtt, aws-c-compression, aws-c-http, aws-c-cal, aws-c-auth, s2n ...) written in C to be cross-platform, high-performance, secure, and reliable. The libraries are bound to Python by the awscrt package (PyPI). AWS IoT provides the cloud services that connect your IoT devices to other devices and AWS cloud services. AWS IoT provides device software that can help you integrate your IoT devices into AWS IoT-based solutions. If your devices can connect to AWS IoT, AWS IoT can connect them to the cloud services that AWS provides. AWS IoT lets you select the most appropriate and up-to-date technologies for your solution. -
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AutoTeach
AutoTeach makes kids study and learn in exchange for internet access.
AutoTeach is a tool that enables parents to supplement The AutoTeach Parent Tool enables parents to supplement their childrens' education without supervision or drama. With AutoTeach you can queue-up activities and tasks that will be dutifully performed at regular intervals. Why will they cooperate like this? Because AutoTeach meters their internet access by using credits which they earn by performing the agenda which you have queued-up for them. The system has potential for many subjects. Everyone, worldwide, is invited to participate. Everything is open-licensed, either Creative Commons or GPL. -
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BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events shown in the images or videos without connecting to the cloud. One of the applications of this intelligent gateway is to use the camera to monitor the place you care about. For example, Figure 3 shows the analyzed results from the camera hosted in the DT42 office. The frames were captured by the IP camera and they were submitted into the AI engine. The output from the AI engine will be shown in the dashboard. -
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Face Mask Detection
Face Mask Detection system based on computer vision and deep learning
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. The absence of large datasets of ‘with_mask’ images has made this task cumbersome and challenging. Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient, thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.). -
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Programmierkurs Python
Programmierkurs Python mit Raspberry Pi und Minecraft
Ein Programmierkurs für die Programmiersprache Python mit dem Raspberry Pi Computer und Minecraft. Im Kurs wird darauf hingearbeitet, Minecraft zu modifizieren. -
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RaspFM
This is a raspberry FM System
This image has been created for those who wan to listen radio and music in the car without having a special car player. You will need only a smartphone with bluethooth , raspberry pi , bluethooth device reconised by raspberry pi and a min 8 gb card, and optionaly a gsm 3g modem. You connect to the device via bluethooth. It is Visible in the first 30 seconds after boot . Device IP on the bluethooth is 192.168.3.1 and lan is configured to get ip from any dhcp server. -
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TensorFlow on Raspberry Pi
TensorFlow for Raspberry Pi
TensorFlow on Raspberry Pi. -
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pimusicbox_1-0a
pimusicbox is a smart jukeboxe and not only
pimusicbox is a smart jukeboxe and not only. It can be a boombox, or a radio and much more. Make it Yourself and enjoy it http://www.pimusicbox.com/ http://www.jonixlug.altervista.org/
