Free, open source C++ library, offering some basic functionality to build high-performing, platform-independent programs. Some of the highlights include:

A List monad transformer and a List class. With standard list operations for Lists

Well-tested C library for some basic image processing operations, along with a description of the functions and some design methods. A full set of affine transformations (translation, shear, rotation, scaling) on images of all depths is included, with the exception that some of the scaling methods do not work at all depths. There are also implementations of binary morphology, grayscale morphology, convolution and rank order filters, and applications such as jbig2 image processing and color quantization. You will also find basic utilities for the safe and efficient handling of arrays (of strings, numbers, number pairs and image-related geometrical objects), byte queues, generic stacks, generic lists, and endian-independent indexing into 32-bit arrays.

Implements `import()` and `export()` standard generics for importing and exporting biological data formats. `import()` supports whole-file as well as chunk-wise iterative import. The `import()` interface optionally provides a standard mechanism for 'lazy' access via `filter()` (on row or element-like components of the file resource), `select()` (on column-like components of the file resource) and `collect()`. The `import()` interface optionally provides transparent access to remote (e.g. via https) as well as local access. Developers can register a file extension, e.g., `.loom` for dispatch from character-based URIs to specific `import()` / `export()` methods based on classes representing file types, e.g., `LoomFile()`.

Iceoryx is an inter-process communication (IPC) middleware for POSIX based operating systems. It features shared memory capabilities which allow a true zero-copy data transfer.

StarPU is a runtime system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs or on Cell's SPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.