python3-django-invitations

Generic invitations solution for Django

Invitations solution with adaptable backend and support for django-allauth. All emails and messages are fully customisable.

python3-sklearn

Python modules for machine learning and data mining - Python 3

scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM)

libring-jetty-adapter-clojure

Clojure web applications library - Jetty adapter

Ring is a Clojure web applications library inspired by Python's WSGI and Ruby's Rack. By abstracting the details of HTTP into a simple, unified API, Ring allows web applications to be constructed of modular components that can be shared among a variety of applications, web servers, and web frameworks.

krb5-strength

Password strength checking for Kerberos KDCs

krb5-strength provides a password quality plugin for the MIT Kerberos KDC (specifically the kadmind server), an external password quality program for use with Heimdal, and a per-principal password history implementation for Heimdal. Passwords can be tested with CrackLib, checked against a CDB or SQLite database of known weak passwords with some transformations, checked for length, checked for non-printable or non-ASCII characters that may be difficult to enter reproducibly, required to contain particular character classes, or any combination of these tests.

r-bioc-pwalign

Perform pairwise sequence alignments

The two main functions in the package are pairwiseAlignment() and stringDist(). The former solves (Needleman-Wunsch) global alignment, (Smith-Waterman) local alignment, and (ends-free) overlap alignment problems. The latter computes the Levenshtein edit distance or pairwise alignment score matrix for a set of strings.

libmongoose3

graph partitioning tool that can quickly compute edge cuts (shared library)

Suitesparse is a collection of libraries for computations involving sparse matrices.