Description:
Mantis is a security framework that automates the workflow of discovery, reconnaissance, and vulnerability scanning.
InvisibleJim
Neofetch
Description:
Neofetch is a command-line system information tool written in bash 3.2+. Neofetch displays information about your operating system, software and hardware in an aesthetic and visually pleasing way.
Trippy
Description:
Trippy combines the functionality of traceroute and ping and is designed to assist with the analysis of networking issues.
Chataigne
Description:
Chataigne is made with one goal in mind : create a common tool for artists, technicians and developers who wish to use technology and synchronize softwares for shows, interactive installations or prototyping. It aims to be as simple as possible for basic interactions, but can be easily extended to create complex interactions.
NVTOP
Description:
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
Zim
Description:
Zim is a graphical text editor used to maintain a collection of wiki pages. Each page can contain links to other pages, simple formatting and images. Pages are stored in a folder structure, like in an outliner, and can have attachments. Creating a new page is as easy as linking to a nonexistent page. All data is stored in plain text files with wiki formatting. Various plugins provide additional functionality, like a task list manager, an equation editor, a tray icon, and support for version control.
Collector
Description:
Drag and Drop to the next level – A Linux alternative to Dropover for mac
Resources
Description:
Resources is a simple yet powerful monitor for your system resources and processes, written in Rust and using GTK 4 and libadwaita for its GUI. It’s capable of displaying usage and details of your CPU, memory, GPUs, network interfaces and block devices. It’s also capable of listing and terminating running graphical applications as well as processes.
Magika
Description:
Magika is a novel AI powered file type detection tool that relies on the recent advance of deep learning to provide accurate detection. Under the hood, Magika employs a custom, highly optimized Keras model that only weighs about 1MB, and enables precise file identification within milliseconds, even when running on a single CPU.