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NetCDF is widely used and has a number of contributors ensuring its continued development.

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. It is also a community standard for sharing scientific data. The Unidata Program Center supports and maintains netCDF programming interfaces for C, C++, Java, and Fortran. Programming interfaces are also available for Python, IDL, MATLAB, R, Ruby, and Perl.

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Unidata embarks on new projects to help make its data and tools available to a broader, more diverse audience. The following are a list of netCDF-related projects between the Unidata Program Center and external collaborators.

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A netCDF fact sheet provides a brief overview of the netCDF package and supported languages and platforms.

If you use netCDF and want to provide a DOI/citation, see How to Acknowledge Unidata.

Geo-interface to Air, Land, Earth, Ocean NetCDF (GALEON) is a Unidata-led interoperability experiment within the OGC (Open Geospatial Consortium). The object of GALEON is to establish standards-based protocols through which other communities can access datasets provided via Unidata technologies. This approach allows Unidata to make data available to other groups (e.g., hydrology, societal impacts, hazards research, etc.) without supplying complete end-to-end support of analysis and display client applications as we do for our core user community. The OGC standardization effort is currently centered on making Unidata's netCDF technology an international data encoding standard in its own right.

Note: Much netCDF support is about installing on new combinations of platforms, compilers, and settings. If we don't have the platform or compiler required to reproduce the problem, we may not be able to provide much help.

The Common Data Model (CDM) is an abstract data model for scientific datasets. It merges the netCDF, OPeNDAP, and HDF5 data models to create a common API for many types of scientific data.