Dropbear is a relatively small SSH server and client. It runs on a variety of POSIX-based platforms. Dropbear is particularly useful for embedded systems, such as wireless routers.

Liboop is a low-level event loop management library for POSIX-based operating systems. It supports the development of modular, multiplexed applications which may respond to events from several sources. It replaces the "select() loop" and allows the registration of event handlers for file and network I/O, timers and signals. Since processes use these mechanisms for almost all external communication, liboop can be used as the basis for almost any application.

mock-ssh-server packs a Python context manager that implements an SSH server for testing purposes. It is built on top of paramiko, so it does not need OpenSSH binaries to be installed.

HPN-SSH is a series of modifications to OpenSSH, the predominant implementation of the ssh protocol. It was originally developed to address performance issues when using ssh on high speed long distance networks.

Corkscrew tunnels SSH connections through most HTTP and HTTPS proxies. It supports proxy authentication through the HTTP basic authentication scheme with optional TLS to protect credentials.

adcli is a command‐line tool to join a computer to an Active Directory domain. It can also update the machine password and manage user, group and computer accounts for a domain.

DING-LIBS (DING Is Not Glib) are a set of small, useful libraries that the System Security Services Daemon (SSSD) uses and makes available to other projects. They include: libdhash, an implementation of a dynamic hash table which will dynamically resize to achieve optimal storage and access time properties; ini_config, a library for parsing and managing INI files; path_utils, a library to manage UNIX paths and subsets of paths; collection, a generic, hierarchical grouping mechanism for complex data sets; ref_array, a dynamically-growing, reference-counted array; libbasicobjects, a set of fundamental object types for C.

SSSD is a system daemon. Its primary function is to provide access to identity and authentication remote resource through a common framework that can provide caching and offline support to the system. It provides PAM and NSS modules, and in the future will support D-BUS based interfaces for extended user information. It also provides a better database to store local users as well as extended user data.

This package provides a unit testing system for R designed to be fun, flexible and easy to set up.

GNU PSPP is a statistical analysis program. It can perform descriptive statistics, T-tests, linear regression and non-parametric tests. It features both a graphical interface as well as command-line input. PSPP is designed to interoperate with Gnumeric, LibreOffice and OpenOffice. Data can be imported from spreadsheets, text files and database sources and it can be output in text, PostScript, PDF or HTML.

This package provides the R math library as an independent package.

This package provides a collection of algorithms and functions to aid statistical modeling. It includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. It also includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.

This package provides a fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently.

This package provides a collection of (mostly simple) functions for generating and manipulating colors in R.

Did you ever wish you could make scatter plots with cat shaped points? Now you can!

Rapid, simulation-based exact (restricted) likelihood ratio tests for testing the presence of variance components/nonparametric terms for models fit with nlme::lme(), lme4::lmer(), lmeTest::lmer(), gamm4::gamm4(), mgcv::gamm() and SemiPar::spm().

This package is a port of the S+ "Robust Library". It provides methods for robust statistics, notably for robust regression and robust multivariate analysis.

This package implements a Dynamic Nested Sampling for computing Bayesian posteriors and evidences.

This package analyzes data with robust methods such as regression methodology including model selections and multivariate statistics.

Radian is an alternative console for the R program with multiline editing and rich syntax highlight. One would consider Radian as a IPython clone for R, though its design is more aligned to Julia.

The R6 package allows the creation of classes with reference semantics, similar to R's built-in reference classes. Compared to reference classes, R6 classes are simpler and lighter-weight, and they are not built on S4 classes so they do not require the methods package. These classes allow public and private members, and they support inheritance, even when the classes are defined in different packages.

This package finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library. Provides approximate, exact searches, fixed radius searches, bd and kb trees.

Enumerable::Statistics provides some methods to calculate statistical summary in arrays and enumerables.

This package lets you calculate power for generalized linear mixed models, using simulation. It was designed to work with models fit using the lme4 package. The package is described in Green and MacLeod (2016).