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Self-employment
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- https://qbbr.cat/
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a command line tool for URL parsing and manipulation.
3D printer / slicing GUI built on top of the Uranium framework
Turn (almost) any Python command line program into a full GUI application with one line
Send push notifications to your phone or desktop using PUT/POST
My status bar: my build of the modular dwmblocks
Build a beautiful Home Assistant dashboard easily
A curated list of awesome search engines useful during Penetration testing, Vulnerability assessments, Red/Blue Team operations, Bug Bounty and more
dadbod.vim: Modern database interface for Vim
dotenv.vim: Basic support for .env and Procfile
Bash Line Editorโa line editor written in pure Bash with syntax highlighting, auto suggestions, vim modes, etc. for Bash interactive sessions.
Automatic SQL injection and database takeover tool
An ultra fast cross-platform multiple screenshots module in pure Python using ctypes.
HomeApp is a small and easy to use smart home app with a simple framework.
GitHub action to set up PHP with extensions, php.ini configuration, coverage drivers, and various tools.
Light-weight system monitor for X, Wayland, and other things, too
GTK3.20-compatible version of bitterologist's Numix Solarized from deviantart; forked off Numix, inspired by bitterologist
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
๐ฉโจ๐ OOP Proxy wrappers/utilities - generates and manages proxies of your objects
๐ My Home Assistant configuration, a bit different that others :) Be sure to ๐ this repository for updates!
๐ Consolidating and extending hosts files from several well-curated sources. Optionally pick extensions for porn, social media, and other categories.
1KB lightweight, fast & powerful JavaScript templating engine with zero dependencies. Compatible with server-side environments like node.js, module loaders like RequireJS and all web browsers.
Mobile_Detect is a lightweight PHP class for detecting mobile devices (including tablets). It uses the User-Agent string combined with specific HTTP headers to detect the mobile environment.
Predict which DOM element a user will interact with next.