| [GDAL](http://www.gdal.org/) | GDAL is a translator library for raster geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. |
| [HDF5](http://www.hdfgroup.org/HDF5/) | HDF5 is a unique technology suite that makes possible the management of extremely large and complex data collections. |
| [netCDF](http://www.unidata.ucar.edu/software/netcdf/) | NetCDF (network Common Data Form) is a set of software libraries and machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. |
| netCDF-Fortran | |
| [netCDF-Fortran](http://www.unidata.ucar.edu/software/netcdf/) | NetCDF (network Common Data Form) is a set of software libraries and machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. |
| [PostgreSQL](http://www.mysql.com/) | PostgreSQL is a powerful, open source object-relational database system. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video. It has native programming interfaces for C/C++, Java, .Net, Perl, Python, Ruby, Tcl, ODBC, among others, and exceptional documentation. |
| [redis](https://redis.io) | Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. |
| [scikit-learn](http://scikit-learn.org/stable/index.html) | Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts. |
