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This plugin will place "Spam" and/or "Not Spam" buttons on the mailbox message list page as well as on a single message view page. The action associated with the buttons (as well as the button text) can be configured to suit most any spam reporting system. Reporting by email, reporting by executing a command on the server and reporting by moving (or copying) the message to a designated folder are all supported. Any number of custom buttons may also be added, where the associated action is completely customizable (for instance, adding the message sender to a whitelist or blacklist).

A user may now build a list of rules that will be used to determine if unsafe images (that are linked to remote sites) will be shown in HTML messages. If a message matches any of the rules and contains images that would normally be initially hidden, then they are now shown by default. The user may choose to always show unsafe images, for all message. This is obviously not recommended by the core SquirrelMail Project Team - or they wouldn't have built this functionality to begin with ( See the following: http://www.squirrelmail.org/wiki/UnsafeImages ). A new section is added to the options page titled, 'Unsafe Image Rules'. Within this page the user may define a number of rules to determine when messages are from a trusted source. These options are very similar to the core message filters plugin. A message field (To, From, CC, Subject) can be matched either against a regular expression, or simply searched to see if the given string is within the field. If a match is found then unsafe images are always shown for this source.

RPy is a very simple, yet robust, Python interface to the R Programming Language. It can manage all kinds of R objects and can execute arbitrary R functions (including the graphic functions). All the errors from the R language are converted to Python exceptions. Any module that later were installed on the R system, can easily be used from within Python, without introducing any changes. rpy2 is a redesign and rewrite of rpy. It is providing a low-level interface to R, a proposed high-level interface, including wrappers to graphical libraries, as well as R-like structures and functions.

This is a component of SPARK 2016. Those looking for the deductive program verification platform known as why3 should refer to math/why3 instead.

R-cran-inline is a functionality to dynamically define R functions and S4 methods with in-lined C, C++ or Fortran code supporting .C and .Call calling conventions.

ANN is a library written in C++, which supports data structures and algorithms for both exact and approximate nearest neighbor neighbor searching in arbitrarily high dimensions.

The GLPK package is a set of routines written in ANSI C and organized in the form of a callable library. This package is intended for solving large-scale linear programming (LP), mixed integer linear programming (MIP) and other related problems. The GLPK package includes the following main components: * implementation of the simplex method; * implementation of the exact simplex method based on bignum (rational) arithmetic; * implementation of the primal-dual interior-point method; * implementation of the branch-and-bound method; * application program interface (API); * GNU MathProg modeling language (a subset of AMPL); * GLPSOL, a stand-alone LP/MIP solver.

GLgraph visualize mathematical functions. It can handle 3 unknowns (x,z,t) and can produce a 4D function with 3 space and 1 time dimension.

GMP-ECM is a program to factor integers using the Elliptic Curve Method (ECM), based on the GNU MP multiprecision library.

KAlgebra is a mathematical calculator based on content markup MathML language, capable to make simple MathML operations (arithmetic and logical) and to representate 2D and 3D graphs.