Darr is a Python science library for storing numeric data arrays in a way that is open, simple, and self-explanatory. It enables fast memory-mapped read/write access to such disk-based data, the ability to append data, and the flexible use of metadata. It is primarily designed for scientific use cases. Save and use your numeric arrays and metadata with one line of code while long-term and tool-independent accessibility and easy shareability is ensured.

To avoid dependency on specific tools, Darr is based on a combination of flat binary and human-readable text files. It automatically saves a clear text description of how the data is stored, together with code for reading the specific data in a variety of current scientific data tools such as Python, R, Julia, Matlab and Mathematica.

See github repository for development and more info.

Install from PyPi with "pip install darr"