libignition-common4-events4

Collection of useful code used by robotics apps - Events libraries

Ignition common is a component in the Ignition framework, a set of libraries designed to rapidly develop robot applications. A collection of useful classes and functions for handling many command tasks. This includes parsing 3D mesh files, managing console output, and using PID controllers.

libignition-msgs8-8

Set of message definitions used by robotics apps - Shared library

Ignition msgs is a component in the Ignition framework, a set of librariesdesigned to rapidly develop robot applications. The library defines common protobuf messages used by the robotics community. This package contains the main message library.

libignition-fuel-tools7-7

Ignition fuel-tools classes and functions - Shared library

Ignition Fuel Tools is composed by a client library and command line tools for interacting with Ignition Fuel servers. These servers host and manage different 3D robotics models.

s-nail

feature-rich BSD mail(1)

S-nail is a mail processing system with a command syntax reminiscent of ed(1) with lines replaced by messages. It is intended to provide the functionality of the POSIX mailx(1) command and offers (mostly optional) extensions for line editing, IDNA, MIME, S/MIME, SMTP and POP3 (and IMAP). It is usable as a mail batch language. S-nail is a derivative of Heirloom mailx, formerly known as nail, which itself is based upon Berkeley Mail that has a history back to the 70s.

designer-qt6-plugins

Qt 6 Designer - plugins

Qt is a cross-platform C++ application framework. Qt's primary feature is its rich set of widgets that provide standard GUI functionality.

r-cran-fastdummies

fast creation of dummy columns and rows from categorical variables

Creates dummy columns from columns that have categorical variables (character or factor types). You can also specify which columns to make dummies out of, or which columns to ignore. Also creates dummy rows from character, factor, and Date columns. This package provides a significant speed increase from creating dummy variables through model.matrix().