python3-nipy

Analysis of structural and functional neuroimaging data

NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies
sed/awk-like tool with Python language

pyp

sed/awk-like tool with Python language

pyp, the Pyed Piper, is a command line tool for text manipulation. It is similar to awk and sed in functionality, but its subcommands are Python based, and thus more familiar to many programmers.

diaspora-installer

distributed social networking service - installer

Diaspora (currently styled diaspora* and formerly styled DIASPORA*) is a free personal web server that implements a distributed social networking service. Installations of the software form nodes (termed "pods") which make up the distributed Diaspora social network.

diaspora-installer-mysql

distributed social networking service - installer (with MySQL)

Diaspora (currently styled diaspora* and formerly styled DIASPORA*) is a free personal web server that implements a distributed social networking service. Installations of the software form nodes (termed "pods") which make up the distributed Diaspora social network.
Full-screen easy to use Usenet newsreader

tin

Full-screen easy to use Usenet newsreader

tin can read news locally (i.e. from /var/spool/news) or remotely (rtin or tin -r option) via an NNTP (Network News Transport Protocol) server.

libsimdjson23

Parsing gigabytes of JSON per second (shared object)

JSON is everywhere on the Internet. Servers spend a *lot* of time parsing it. We need a fresh approach. The simdjson library uses commonly available SIMD instructions and microparallel algorithms to parse JSON 4x faster than RapidJSON and 25x faster than JSON for Modern C++.