From the webpage:
Madagascar is an open-source software package for multidimensional data analysis and reproducible computational experiments. Its mission is to provide
- a convenient and powerful environment
- a convenient technology transfer tool
for researchers working with digital image and data processing in geophysics and related fields. Technology developed using the Madagascar project management system is transferred in the form of recorded processing histories, which become “computational recipes” to be verified, exchanged, and modified by users of the system.
Interesting tool for “reproducible documents” and data analysis.
The file format, Regularly Sampled Format (RSF) sounds interesting:
For data, Madagascar uses the Regularly Sampled Format (RSF), which is based on the concept of hypercubes (n-D arrays, or regularly sampled functions of several variables), much like the SEPlib (its closest relative), DDS, or the regularly-sampled version of the Javaseis format (SVF). Up to 9 dimensions are supported. For 1D it is conceptually analogous to a time series, for 2D to a raster image, and for 3D to a voxel volume. The format (actually a metaformat) makes use of a ASCII file with metadata (information about the data), including a pointer (in= parameter) to the location of the file with the actual data values. Irregularly sampled data are currently handled as a pair of datasets, one containing data and the second containing the corresponding irregular geometry information. Programs for conversion to and from other formats such as SEG-Y and SU are provided. (From Package Overview)
In case you are interested SEG-Y and SU (Seismic Unix data format) are both formats for geophysical data.
I first saw this in a tweet by Scientific Python.