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GUI for Fancontrol. It uses the KAuth module of the KDE Frameworks 5 to write the generated config file. Furthermore it communicates with systemd via dbus to control the fancontrol service. If you want to compile without systemd support set the -DNO_SYSTEMD option.

WebTau (web test automation) is a testing API, command line tool and a framework to write unit, integration and end-to-end tests. Test across REST-API, WebSocket, GraphQL, Browser, Database, CLI and Business Logic with a consistent set of matchers and concepts. REPL mode speeds-up tests development. Rich reporting cuts down investigation time.

⚙️ ArminC's autoexec for CS2 - well documented, analysed and no misconfigurations

  • autoexec
  • config
  • cfg
  • scripts

This library provides a set of F# helpers for string manipulations, logging, collection data structures, file operations, text processing, security, async, parsing, diagnostics, configuration files and Json serialization.

RapidCMS is a Blazor framework which allows you to build a responsive and flexible CMS purely from code. It provides a basic set of editors and controls, and is fully customisable.

Set of tools for security testing of Internet of Things devices using specific network IoT protocols

Shell scripts to manage database backups, asset backups, file permissions, asset syncing, cache clearing, and database syncing between Craft CMS environments

  • craftcms
  • database-sync
  • assets-sync
  • set-permissions

Digital Elevation model library in C#. 3D terrain models, line/point Elevations, intervisibility reports

  • digital-elevation-model
  • dem-querying
  • geotiff
  • srtm

Compatibility layer and high level emulator hybrid for running macOS applications across operating systems and architectures

  • compatibility-layer
  • macos
  • macos-compatibility
  • high-level-emulation

AVXCAssets Generator takes path for your assets images and creates appiconset and imageset for you in just one click

  • xcassets
  • avxcassets-generator
  • imageset
  • tool

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

A set of Rack middleware and cache helpers that implement various caching strategies.