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"info": {
"author": "Tim Wentzlau",
"author_email": "tim.wentzlau@gmail.com",
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"Environment :: Console",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Information Technology",
"Intended Audience :: Manufacturing",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: MacOS",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3.5",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Human Machine Interfaces",
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"description": "# kervi\nEasy Python framework for robotic and automation projects.\nThe framework runs on all platforms that supports Python and have hardware support for Raspberry pi.\nWire up sensors, controllers and other devices to your Raspberry PI and link them to web based dashboards\nand internal application logic.\n\nKnowledge about web servers, html or web programming is not needed.\nUI configuration is done in python code and the framework creates the web ui.\n\nFeatures of the framework are:\n* Python classes for handling sensors, displays, motors, gpio and other hardware.\n* Python classes for handling user interactions from controllers on dashboards.\n* Integrated camera handling (Raspberry PI camera at the moment)\n* Device driver library for common devices \n* Very easy dashboard setup.\n* Dashboard UI is responsive and scales from mobile phones to desktop.\n* Multi process oriented by spreading over more than one core.\n* Multi device oriented by connecting multiple Raspberry Pi's in one large application. \n* No web development knowledge is required as dashboard layout is handled in python. \n\n\n[Read the full documentation](https://kervi.org/)\n\n![](\"https://kervi.github.io/_images/dashboard_browser.png\")
![](\"https://kervi.github.io/_images/dashboard_mobile.png\")
\n\n![](\"https://kervi.github.io/_images/dashboard_cam.png\")
![](\"https://kervi.github.io/_images/panel_cam.png\")
\n\n\nInstall Kervi via pip:\n\nOn Raspberry Pi\n\n```\nsudo pip3 install kervi[rpi]\n```\n\nOn other systems like windows and linux:\n```\npip3 install kervi\n```\n\nAfter Kervi is installed, a commandline tool called *kervi* is available.\nVia the commandline interface it is possible scaffold Kervi apps and\nsetup image and video handling on Raspberry PI.\n\nCreate your first app in an empty folder by executing:\n```\nkervi create application myapp \"My first app\"\n```\n\nStart your new app by executing: \n```\npython myapp.py\n```\n\nThe following output should be displayed:\n(example)\n```\nStarting kervi application, please wait\nload sensors\nload controllers\nload cameras\ninit IPC\nYour Kervi application is ready at http://192.168.0.120:8080\n```\n\nGoto the url specified",
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