python3-mistletoe

fast, extensible Markdown parser in pure Python

mistletoe is a Markdown parser in pure Python, designed to be fast, spec-compliant and fully customizable.

ruby-sinatra

Ruby web-development dressed in a DSL

Sinatra is an open source web framework for Ruby programming language. It provides simple Domain Specific Language (DSL) for defining RESTful HTTP actions, and then defining how the application is going to respond to them.

qdiskinfo

CrystalDiskInfo alternative for Linux

QDiskInfo is a frontend for smartctl. It provides a user experience similar to CrystalDiskInfo. It shows the SMART (Self-Monitoring, Analysis, and Reporting Technology) data of modern hard disk drives.

python3-waiting

Python module for waiting for events to happen (Python 3 version)

The waiting module is designed to wait for events to occur. The waiting routine polls a given predicate function until it returns True, polling on a regular basis, at defined times, with exponential back-off or with a time-out.

r-cran-afex

GNU R package for analyzing factorial experiments using ANOVA or mixed models

The r-cran-afex package is a GNU R package providing convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated- measures), or mixed between-within (i.e., split- plot) ANOVAs for data in long format (i.e., one observation per row), potentially aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type 3 sums of squares as default (imitating commercial statistical software).

r-cran-maldiquant

GNU R package for quantitative analysis of mass spectrometry data

MALDIquant provides a complete analysis pipeline for MALDI-TOF and other mass spectrometry data. Distinctive features include baseline subtraction using the SNIP algorithm, peak alignment using warping functions, handling of replicated measurements as well as allowing spectra with different resolutions.