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NetCDF

NetCDF

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What is NetCDF?

NetCDF (Network Common Data Form) is a set of software libraries and self-describing, machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. It's commonly used to store meteorological, oceanographic, and climate data.

What other technologies are related to NetCDF?

NetCDF Competitor Technologies

GRIB is a file format commonly used for meteorological data. It's a competitor because it serves a similar purpose as NetCDF for storing and distributing gridded data.
mentioned alongside NetCDF in 93% (436) of relevant job posts
HDF (Hierarchical Data Format) is a general-purpose format for storing large, complex data. It is a competitor because NetCDF is often built on top of HDF5 and offers similar functionalities for scientific data.
mentioned alongside NetCDF in 58% (281) of relevant job posts
BUFR is a binary data format maintained by the World Meteorological Organization (WMO) for observational data. It competes in the sense that it offers an alternative way of storing meteorological data.
mentioned alongside NetCDF in 93% (97) of relevant job posts
Zarr is a format for storing chunked, compressed, N-dimensional arrays. It competes with NetCDF, particularly for cloud-based workflows.
mentioned alongside NetCDF in 49% (117) of relevant job posts
GRIB2 is a newer version of the GRIB format, and thus a competitor to NetCDF for storing weather data.
mentioned alongside NetCDF in 61% (74) of relevant job posts

NetCDF Complementary Technologies

CDO (Climate Data Operators) is a collection of command-line operators to manipulate and analyze climate and NWP model data. It often works with NetCDF files, making it a complementary tool.
mentioned alongside NetCDF in 38% (127) of relevant job posts
NCO (NetCDF Operators) is a suite of programs for manipulating and analyzing NetCDF data. They are specifically designed to work with NetCDF files.
mentioned alongside NetCDF in 43% (110) of relevant job posts
xarray is a Python package that makes working with labeled multi-dimensional arrays simple and efficient. It integrates well with NetCDF, providing a higher-level interface for reading and writing NetCDF data.
mentioned alongside NetCDF in 24% (167) of relevant job posts

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