Calc is arbitrary precision arithmetic system that uses a C-like language. It's useful as a calculator, an algorithm prototype, and as a mathematical research tool. More importantly, calc provides a machine-independent means of computation. Calc comes with a rich set of builtin mathematical and programmatic functions.
GRAL is a library for creating high quality plots and charts in Java. Many plot types are available like scatter plot, bubble plots, line plots, area plots, pie charts, and bar charts. Additionally, GRAL can exchange and process data (smoothing), and various plug-ins allow the import and export of data and graphics to formats like CSV, JPEG, PNG, EPS, PDF, or SVG.
Armadillo is a C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use. Integer, floating point, and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. A delayed evaluation approach, based on template meta-programming, is used (during compile time) to combine several operations into one and reduce or eliminate the need for temporaries.
SHTns is a high-performance Spherical Harmonic Transform library. It was designed for numerical simulation (fluid flows, mhd, etc.) in spherical geometries, but can be used for any kind of problem involving scalar or vector spherical harmonics. It is very fast, thanks to careful vectorization and runtime tuning. It supports multi-threaded transforms via OpenMP. It features scalar and vector transforms, synthesis and analysis, and flexible truncation and normalization. A Python interface is included.
GetData is a library that provides an API to interface with dirfile databases. The dirfile database format is designed to provide a fast, scalable format for storing and reading binary, synchronously-sampled, time-ordered data. GetData was originally written for the BOOMERanG and BLAST experiments as a data format suitable for use for both quick-look and data reduction. It is now used by many other cosmological and astrophysical experiments including ACT, Planck, Spider, Keck, as well as other projects.
Equalizer is middleware for creating and deploying parallel OpenGL-based applications. It enables applications to benefit from multiple graphics cards, processors, and computers to scale rendering performance, visual quality, and display size. An Equalizer-based application runs unmodified on any visualization system, from a simple workstation to large scale graphics clusters, multi-GPU workstations, and Virtual Reality installations.
Mrs is a lightweight but high performance implementation of the MapReduce programming model for parallel computation. It is optimized for computationally intensive programs, especially those which are iterative, though it is applicable to a wide range of applications. It is intended to be simple to install and use. It is written in Python, supports both Python 2 and Python 3, and has no dependencies outside the standard library. The name "Mrs" derives from the practice of referring to MapReduce programs by the title "mister" (e.g., "Mr. Wordcount").
libCVD is a very portable and high performance C++ library for computer vision, image, and video processing. The emphasis is on providing simple and efficient image and video handling and high quality implementations of common low-level image processing function. The library is designed in a loosely-coupled manner, so that parts can be used easily in isolation if the whole library is not required. The video grabbing module provides a simple, uniform interface for videos from a variety of sources (live and recorded) and allows easy access to the raw pixel data. Likewise, the image loading/saving module provides simple, uniform interfaces for loading and saving images from bitmaps to 64 bit per channel RGBA images. The image processing routines can be applied easily to images and video, and accelerated versions exist for platforms supporting SSE.
FLENS is short for Flexible Library for Efficient Numerical Solutions. This C++ can be used as a builing block for the implementation of other (higher-level) numerical libraries or numerical applications. It is a C++ library (requires a C++11 conform compiler). Easy install, as FLENS is headers only. It gives you Matrix/vector types for dense linear algebra; a generic (i.e. templated) implementation of BLAS; and a generic reimplementation of LAPACK. If high performance BLAS libraries like ATLAS, GotoBLAS, etc. are available, you simply can link against them and boost performance.