libgroonga0t64
Library files for Groonga
Groonga is an open-source fulltext search engine and column store.
It lets you write high-performance applications that requires fulltext search.
libscitokens0t64
C++ Implementation of the SciTokens Library
This package implements a minimal library for creating and using
SciTokens from C or C++.
libsweble-wikitext-java
parser for MediaWiki's wikitext
The Sweble Wikitext Parser is a parser for the wiki markup (called Wikitext)
used by the MediaWiki wiki engine. Of course, the MediaWiki software provides
its own parser for wikitext, however, the MediaWiki parser only produces HTML
output. The Sweble Wikitext Parser on the other hand generates a
machine-readable representation (AST – abstract syntax tree) of an article,
thus unlocking the structured data within a wiki running the MediaWiki
software.
python3-certbot-dns-desec
desec.io DNS plugin for Certbot
The objective of Certbot, Let's Encrypt, and the ACME (Automated
Certificate Management Environment) protocol is to make it possible
to set up an HTTPS server and have it automatically obtain a
browser-trusted certificate, without any human intervention. This is
accomplished by running a certificate management agent on the web
server.
libmartchus-c++utilities5t64
useful C++ classes and routines used by Martchus' applications
Martchus-cpp-utilities is a library that contains helpers for:
* parsing command-line arguments and providing Bash completions
* working with dates and times
* converting primitive data types to byte-buffers, and vice versa
(eg, between litte-endian and big-endian)
* common string conversions/operations
* using standard IO streams
* using SFINAE by providing additional traits (eg, for checking whether a
type is iteratable)
* testing with *CppUnit*
* CMake, with convenient modules and templates
veryfasttree
Speeding up the estimation of phylogenetic trees from sequences
VeryFastTree is a highly efficient implementation inspired by the FastTree-2
tool, designed to expedite the inference of approximately-maximum-likelihood
phylogenetic trees from nucleotide or protein sequence alignments. It is an
optimized implementation designed to accelerate the estimation of phylogenies
for large alignments. By leveraging parallelization and vectorization
strategies, VeryFastTree significantly improves the performance and
scalability of phylogenetic analysis, allowing it to construct phylogenetic
trees in a fraction of the time previously required.