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.