libslepc64-complex3.21

Scalable Library for Eigenvalue Problem Computations (64-bit)

SLEPc is a software library for the solution of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for either standard or generalized eigenproblems, with real or complex arithmetic. It can also be used for computing a partial SVD of a large, sparse, rectangular matrix.

sploitscan

Search for CVE information

SploitScan is an efficient and easy-to-use command-line tool designed to consult CVE (Common Vulnerabilities and Exposures). Extremely important for professionals, as it allows them to implement measures that prevent the exploitation of discovered vulnerabilities.

python3-whey

simple Python wheel builder for simple projects

The Whey project is a powerful Python tool that simplifies the process of creating and distributing high-performance Python packages, especially designed for those using Cython for compilation. With support for the latest PEPs, Whey offers a comprehensive solution for building and packaging advanced Python projects.

qml-module-quickflux

quickflux QML/QtQuick module

An implementation of Flux Application Architecture Framework from Facebook. It turns your QML application into a more modern and structured way.

video-downloader

Download videos from websites with an easy-to-use interface

This package is an easy-to-use user interface based on yt-dlp. It provides the following features: - Convert videos to MP3 - Supports password-protected and private videos - Download single videos or whole playlists - Automatically selects a video format based on your quality demands

libcmor2t64

Climate Model Output Rewriter library

The "Climate Model Output Rewriter" (CMOR, pronounced "Seymour") comprises a set of C-based functions, with bindings to both Python and FORTRAN 90, that can be used to produce CF-compliant netCDF files that fulfill the requirements of many of the climate community's standard model experiments. These experiments are collectively referred to as MIP's and include, for example, AMIP, CMIP, CFMIP, PMIP, APE, and IPCC scenario runs. The output resulting from CMOR is "self-describing" and facilitates analysis of results across models.