Barcodes for Python is a library that can create EAN-13, Code-128A, Code128-B, Code128-C, and Gs1 barcodes. It also includes a CLI tool that can generate barcode image files and GTK+ and Qt GUI examples with printing support. The barcodes is produces have been verified using a cheap Deltaco (KB Wedge B519153) CCD handheld barcode scanner.
Booleano is an interpreter of Boolean expressions; a library to define and run filters available as text (e.g. in a natural language) or in Python code. In order to handle text-based filters, Booleano ships with a fully-featured parser whose grammar is adaptive: Its properties can be overridden using simple configuration directives. On the other hand, the library exposes a Pythonic API for filters written in pure Python. These filters are particularly useful to build reusable conditions from objects provided by a third party library.
Click'n'Drag is a Python module that introduces the "Plane" class, which extends PyGame's "Surface" functionality, offering a hierarchy of mouse-sensitive, draggable Surfaces that can be used as sprites, windows, icons, or other interactive elements. In addition, the clickndrag.gui module uses clickndrag to provide basic GUI elements like container, label, text box, option list, and button.
ClusterShell is a set of tools and an event-based Python library to execute commands on local or remote cluster nodes in parallel. The framework also provides advanced methods for handling node sets and node groups to ease and improve administration of large compute clusters or server farms. Three convenient command line utilities, clush, clubak, and nodeset, allow traditional shell scripts to benefit some useful features offered by the library.
EJDB is an embedded JSON database engine. It aims to be a fast MongoDB-like NoSQL library that can be embedded into C/C++/Nodejs/Python3/Lua applications. It features collection-level write locking, collection level transactions, string token matching queries, and a Node.js binding.
EO is a template-based, ANSI-C++ evolutionary computation library that helps you to write your own stochastic optimization algorithms quickly. Evolutionary algorithms form a family of algorithms inspired by the theory of evolution, and solve various problems. They evolve a set of solutions to a given problem in order to produce the best results. These are stochastic algorithms because they iteratively use random processes. The vast majority of these methods are used to solve optimization problems, and may be also called "metaheuristics". They are also ranked among computational intelligence methods, a domain close to artificial intelligence. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems, from continuous to combinatorial ones.