Showing 9 open source projects for "ircbot python module"

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  • 1
    Kalliope

    Kalliope

    Kalliope is a framework to create your own personal assistant

    ... need a particular module, you can write it by yourself, add it to your project, and propose it to the community. Kalliope can run on all Linux Debian-based distributions including a Raspberry Pi and its multi-lang. The only thing you need is a microphone.
    Downloads: 1 This Week
    Last Update:
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  • 2

    raspberry-gpio-python

    A Python module to control the GPIO on a Raspberry Pi

    To get started with RPi.GPIO, it would be worthwhile reading the examples in the project wiki (link above). Note that this module is unsuitable for real-time or timing critical applications. This is because you can not predict when Python will be busy garbage collecting. It also runs under the Linux kernel which is not suitable for real time applications - it is multitasking O/S and another process may be given priority over the CPU, causing jitter in your program. If you are after true real...
    Downloads: 37 This Week
    Last Update:
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  • 3
    motionEyeOS

    motionEyeOS

    A video surveillance OS for single-board computers

    motionEyeOS is a Linux distribution that turns a single-board computer into a video surveillance system. The OS is based on BuildRoot and uses motion as a backend and motionEye for the frontend. Compatible with most USB cameras as well as with the Raspberry PI camera module. Motion detection with email notifications and working schedule. JPEG files for still images, AVI files for videos. Connects to your local network using ethernet or wifi. File storage on SD card, USB drive or network SMB...
    Downloads: 59 This Week
    Last Update:
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  • 4

    AllSkyCam

    Python control code for home-built All Sky Camera

    Python control code running as a service on a Nano Pi M4 (clone of an Raspberry Pi with multi-core performance), enabling all sky captures and automatic generation of whole videos, an keogram and star trails using the cv2 module.
    Downloads: 0 This Week
    Last Update:
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  • 5

    pyNETVARS

    Python module for network variables for CoDeSys PLCs

    CoDeSys v2.3 supports so called network variables. Blocks of (global) variables, that propagates over networks like TCP, UDP or UDP Multicast aso. This python module supports parsing, receiving and sending those blocks (with UDP Multicast only). With this you can add for example a Raspberry Pi Sensor to your automation network without special Network clients on your PLC.
    Downloads: 0 This Week
    Last Update:
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  • 6
    Raspberry Pi Remote

    Raspberry Pi Remote

    Remotely manage, access and control your Raspberry Pi

    Raspberry Pi Remote allows you to manage, access and control your Raspberry Pi remotely. Simply install the server side application on your Raspberry PI and the Client side one on your computer and you're away.
    Downloads: 0 This Week
    Last Update:
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  • 7

    RaspRFID

    RFID Software for using MiFare compatible tags on a Rasberry Pi

    A python utility program to provide functionality for the Raspberry Pi to work with a RFID reader.
    Downloads: 0 This Week
    Last Update:
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  • 8

    serialLCD ATmega8 (ArduinoBased)

    The serial LCD module using ATmega8 along with easy arduino library.

    ... is required to communicate with serialLCD module. The library & firmware file is released in public domain as open-source project. Feel free to edit/improve/share it. *** Raspberry Pi python library added. video available on youtube at: http://youtu.be/adNOWREWuL8
    Downloads: 0 This Week
    Last Update:
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  • 9
    Growbox Supervisor System - Arduino

    Growbox Supervisor System - Arduino

    Controls the growing environment inside a grow box or grow cabinet.

    The ATMega2560 has a Grove Base Hat attached as well as the Arduino Ethernet module. It will be used to monitor and control the grow box environment. It uses Seeed's Grove sensors to measure the environment. This has the same features as my Growbox Supervisor System-GROWSS, but is designed on an Arduino board instead of a Raspberry Pi. The advantage of using Arduino is that I should also be able to control the Arduino from the Blynk app. I couldn't control the Raspberry Pi with the Blynk...
    Downloads: 0 This Week
    Last Update:
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