sshpass is a tool for non-interactively performing password authentication with SSH's so-called interactive keyboard password authentication.

autossh is a program to start a copy of ssh and monitor it, restarting it as necessary should it die or stop passing traffic.

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.

The SSH2 protocol implemented in OpenSSH is standardised by the IETF secsh working group and is specified in several RFCs and drafts. It is composed of three layered components:

The transport layer provides algorithm negotiation and a key exchange. The key exchange includes server authentication and results in a cryptographically secured connection: it provides integrity, confidentiality and optional compression.

The user authentication layer uses the established connection and relies on the services provided by the transport layer. It provides several mechanisms for user authentication. These include traditional password authentication as well as public-key or host-based authentication mechanisms.

The connection layer multiplexes many different concurrent channels over the authenticated connection and allows tunneling of login sessions and TCP-forwarding. It provides a flow control service for these channels. Additionally, various channel-specific options can be negotiated.

ClusterShell is an event-driven Python framework, designed to run local or distant commands in parallel on server farms or on large GNU/Linux clusters. It will take care of common issues encountered on HPC clusters, such as operating on groups of nodes, running distributed commands using optimized execution algorithms, as well as gathering results and merging identical outputs, or retrieving return codes. ClusterShell takes advantage of existing remote shell facilities such as SSH.

This package provides a web application to be used as an SSH client.

Features:

• SSH password authentication supported, including empty password.

• SSH public-key authentication supported, including DSA RSA ECDSA Ed25519 keys.

• Encrypted keys supported.

• Two-Factor Authentication (time-based one-time password) supported.

• Fullscreen terminal supported.

• Terminal window resizable.

• Auto detect the ssh server's default encoding.

• Modern browsers are supported.

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.

Mosh is a remote terminal application that allows client roaming, supports intermittent connectivity, and provides intelligent local echo and line editing of user keystrokes. It's a replacement for SSH that's more robust and responsive, especially over Wi-Fi, cellular, and long-distance links.

libssh is a C library implementing the SSHv2 and SSHv1 protocol for client and server implementations. With libssh, you can remotely execute programs, transfer files, and use a secure and transparent tunnel for your remote applications.

The SSH2 protocol implemented in OpenSSH is standardised by the IETF secsh working group and is specified in several RFCs and drafts. It is composed of three layered components:

The transport layer provides algorithm negotiation and a key exchange. The key exchange includes server authentication and results in a cryptographically secured connection: it provides integrity, confidentiality and optional compression.

The user authentication layer uses the established connection and relies on the services provided by the transport layer. It provides several mechanisms for user authentication. These include traditional password authentication as well as public-key or host-based authentication mechanisms.

The connection layer multiplexes many different concurrent channels over the authenticated connection and allows tunneling of login sessions and TCP-forwarding. It provides a flow control service for these channels. Additionally, various channel-specific options can be negotiated.

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.

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.

Various definitions for a high-dimensional median exist and this Python package provides a number of fast implementations of these definitions. Medians are extremely useful due to their high breakdown point (up to 50% contamination) and have a number of nice applications in machine learning, computer vision, and high-dimensional statistics.

This package provides a Python/C(++) implementation of Hartigan & Hartigan's dip test for unimodality.

The dip test measures multimodality in a sample by the maximum difference, over all sample points, between the empirical distribution function, and the unimodal distribution function that minimizes that maximum difference. Other than unimodality, it makes no further assumptions about the form of the null distribution.

R is a language and environment for statistical computing and graphics. It provides a variety of statistical techniques, such as linear and nonlinear modeling, classical statistical tests, time-series analysis, classification and clustering. It also provides robust support for producing publication-quality data plots. A large amount of 3rd-party packages are available, greatly increasing its breadth and scope.

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.

Mixedpower uses pilotdata and a linear mixed model fitted with lme4 to simulate new data sets. Power is computed separate for every effect in the model output as the relation of significant simulations to all simulations. More conservative simulations as a protection against a bias in the pilotdata are available as well as methods for plotting the results.

emcee is a Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC).

This package implements a functionality to optionally compute statistical test and add statistical annotations on plots generated with seaborn.

This is a package to provide infrastructure for managing package parameters. Parameters are easy to get in relevant functions within a package, and error is thrown if a parameter is missing. Developers are able to register parameters and set their default value in a config file that is part of the package in YAML format, and users are able to override parameters using their own YAML. Users get an exception when trying to override a parameter that was not registered, and can load multiple parameters to the current environment.

R is a language and environment for statistical computing and graphics. It provides a variety of statistical techniques, such as linear and nonlinear modeling, classical statistical tests, time-series analysis, classification and clustering. It also provides robust support for producing publication-quality data plots. A large amount of 3rd-party packages are available, greatly increasing its breadth and scope.

rchitect provides access to R functionality from Python. Its main use is as the driver for radian, the R console.

ArviZ is a Python package for exploratory analysis of Bayesian models. It includes functions for posterior analysis, data storage, model checking, comparison and diagnostics.