The Go programming language is an open source project to make programmers more productive. Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. Bio++ is Object Oriented and is designed to be both easy to use and computer efficient. Bio++ intends to help programmers to write computer expensive programs, by providing them a set of re-usable tools.

Manipulating PDB (Protein Data Bank) files is often painful. Extracting a particular chain or set of residues, renumbering residues, splitting or merging models and chains, or just ensuring the file is conforming to the PDB specifications are examples of tasks that can be done using any decent parsing library or graphical interface. These, however, almost always require 1) scripting knowledge, 2) time, and 3) installing one or more programs.

Apache AGE is an extension for PostgreSQL that enables users to leverage a graph database on top of the existing relational databases. AGE is an acronym for A Graph Extension and is inspired by Bitnine's AgensGraph, a multi-model database fork of PostgreSQL. The basic principle of the project is to create a single storage that handles both the relational and graph data model so that the users can use the standard ANSI SQL along with openCypher, one of the most popular graph query languages today.

Ruby is the interpreted scripting language for quick and easy object-oriented programming. It has many features to process text files and to do system management tasks (as in perl). It is simple, straight-forward, and extensible.

This project aims to be the best, clearest QR Code generator library in multiple languages. The primary goals are flexible options and absolute correctness. Secondary goals are compact implementation size and good documentation comments. Core features: * Available in 7 programming languages, all with nearly equal functionality: Java, JavaScript, TypeScript, Python, C++, C, Rust * Significantly shorter code but more documentation comments compared to competing libraries * Supports encoding all 40 versions (sizes) and all 4 error correction levels, as per the QR Code Model 2 standard * Output formats: Raw modules/pixels of the QR symbol (all languages), SVG XML string (all languages except C), BufferedImage raster bitmap (Java only), HTML5 canvas (JavaScript and TypeScript only) * Encodes numeric and special-alphanumeric text in less space than general text * Open source code under the permissive MIT License