lxqt-about is a dialogue window providing information about LXQt and the system it's running on.

ScreenGrab is a program for fast creating screenshots, and easily publishing them on internet image hosting services.

lxqt-session provides the standard session manager for the LXQt desktop environment.

This package provides a Qt graphical interface to archiving programs like tar and zip.

liblxqt provides the basic libraries shared by the components of the LXQt desktop environment.

This package provides files needed for the LXQt Wayland Session: Wayland session start script, its desktop entry for display managers and default configurations for actually supported compositors which are:

• Labwc

• Wayfire

• kwin_wayland

• Hyprland

• Niri

• river

• Sway

lxqt-powermanagement is providing tools to monitor power management events and optionally trigger actions like e. g. shut down a system when laptop batteries are low on power.

This package provides freedesktop compliant menu files for LXQt Panel, Configuration Center and PCManFM-Qt/libfm-qt.

lxqt-qtplugin is providing a library libqtlxqt to integrate Qt with LXQt.

lxqt-config is providing several tools involved in the configuration of both LXQt and the underlying operating system.

libsysstat is a library to query system information like CPU and memory usage or network traffic.

GNU M4 is an implementation of the M4 macro language, which features some extensions over other implementations, some of which are required by GNU Autoconf. It is used as a macro processor, which means it processes text, expanding macros as it encounters them. It also has some built-in functions, for example to run shell commands or to do arithmetic.

This is a Python library that aims at making tensor learning simple and accessible. It allows performing tensor decomposition, tensor learning and tensor algebra easily. Its backend system allows seamlessly perform computation with NumPy, PyTorch, JAX, MXNet, TensorFlow or CuPy and run methodxs at scale on CPU or GPU.

Dlib is a modern C++ toolkit containing machine learning algorithms and tools. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments.

This package provides a Python library to easily read single characters and key strokes.

TensorFlow is a flexible platform for building and training machine learning models. This package provides the "lite" variant for mobile devices.

This package includes the Python scripts included in llama.cpp. These scripts are necessary for format conversion, shader generation, etc.

This package implements the Hopcroft-Karp algorithm, producing a maximum cardinality matching from a bipartite graph.

PyNNDescent provides a Python implementation of Nearest Neighbor Descent for k-neighbor-graph construction and approximate nearest neighbor search.

QNNPACK is a library for low-precision neural network inference. It contains the implementation of common neural network operators on quantized 8-bit tensors.

This variant of the ONNX package is built as a static C++ library with schema registration disabled, for linking into onnxruntime. It should not be used standalone.

LIBSVM is a machine learning library for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.

This package provides a Plain C/C++ implementation based on ggml, working in the same way as llama.cpp. It supports diffusion models such as SD, Flux, Wan, Qwen and Image,Z-Image.

This package includes a variety of tools used to analyze persistence diagrams. It currently houses implementations of

• Persistence images

• Persistence landscapes

• Bottleneck distance

• Modified Gromov–Hausdorff distance

• Sliced Wasserstein kernel

• Heat kernel

• Diagram plotting