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Debloat macOS: turn off Apple Intelligence, analytics, ads and pop-ups. A native app and CLI, and every change can be undone.

SwiftSoup: Pure Swift HTML Parser, with best of DOM, CSS, and jquery (Supports Linux, iOS, Mac, tvOS, watchOS)

  • swift
  • swiftsoup
  • parse
  • html-document

Free open source home automation system for Linux, Windows, Raspberry Pi. Supports Z-Wave, Zigbee, MQTT, and 150+ devices.

  • cpp
  • domoticz
  • dzvents
  • energy-monitoring

MirageOS is a library operating system that constructs unikernels

  • mirageos
  • unikernel
  • xen
  • kvm

Modern XMPP ("Jabber") Chat Client using GTK/Vala

  • xmpp-client
  • vala
  • xmpp
  • linux-desktop

A smarter shell and scripting environment with advanced features designed for usability, safety and productivity (eg smarter DevOps tooling)

Self-hosted open-source web gallery to view your photos and videos featuring mobile-friendly, tagging and AI powered image discovery

  • gallery
  • videos
  • open-source
  • web-gallery

AVML - Acquire Volatile Memory for Linux

  • rust
  • memory-forensics
  • linux-security

DSL Framework consisting of a DSL Engine and a Data-Binding Library used in Glimmer DSL for SWT (JRuby Desktop Development GUI Framework), Glimmer DSL for Opal (Pure Ruby Web GUI), Glimmer DSL for LibUI (Prerequisite-Free Ruby Desktop Development GUI Library), Glimmer DSL for Tk (Ruby Tk Desktop Development GUI Library), Glimmer DSL for GTK (Ruby-GNOME Desktop Development GUI Library), Glimmer DSL for XML (& HTML), and Glimmer DSL for CSS

  • desktop
  • desktop-application-sdk
  • ruby
  • jruby

Quick development library (AutoMapper, LinQ, IOC Dependency Injection, MemoryCache, Scheduled tasks, Json and Yml Config and Options pattern, Serializers, etc) with crossplatform support for Delphi/Firemonkey (Windows,Linux,OSX/IOS/Android) and freepascal (Windows/Linux).

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.