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Well known tools

NetCDF (Network Common Data Form) and HDF (Hierarchical Data Format) are widely used formats for storing and handling large scientific data sets. There are several tools available for working with these formats, each offering different functionalities. from basic file manipulation to sophisticated data analysis and visualization.

A list of some well-known tools :

Tool Description
netCDF4 A Python interface to the netCDF C library for reading and writing netCDF files.
HDFView A visual tool for browsing and editing HDF4 and HDF5 files.
CO (NetCDF Operators) A suite of command-line tools designed for manipulating and analyzing NetCDF files.
CDO (Climate Data Operators) A collection of command-line operators to manipulate and analyze climate and NWP model data stored in NetCDF or HDF formats.
Panoply A cross-platform application that plots geo-gridded and other arrays from netCDF, HDF, and other datasets.
ncview A visual browser for NetCDF format files.
PyHDF A Python package for accessing HDF4 files.
h5py A Python interface to the HDF5 binary data format.
HDF-EOS A specialized version of HDF designed to support Earth Observation System data.
ncdump/ncgen Utilities that come with the NetCDF library for displaying data and converting it to and from text format.
Xarray A Python library for labeled, multi-dimensional arrays and datasets, commonly used with NetCDF data.
NetCDF-Java A Java library for reading and writing NetCDF and other file formats.
GDAL (Geospatial Data Abstraction Library) Supports reading and writing of HDF and netCDF data formats, commonly used for geospatial data processing.
FERRET An interactive computer visualization and analysis environment designed to meet the needs of oceanographers and meteorologists analyzing large and complex gridded data sets.
GrADS (Grid Analysis and Display System) A tool for easy access, manipulation, and visualization of earth science data stored in binary, GRIB, NetCDF, or HDF formats.
UV-CDAT (Ultrascale Visualization Climate Data Analysis Tools) A powerful tool for climate data analysis and visualization that supports NetCDF and HDF among other formats.
Thematic Real-time Environmental Distributed Data Services (THREDDS) A web server that provides metadata and data access for scientific datasets, using OPeNDAP, Web Coverage Service (WCS), and other remote data access protocols.
MATLAB and Octave Both provide support for reading and writing NetCDF and HDF files.
NCL (NCAR Command Language) A scripting language designed specifically for scientific data analysis and visualization, supporting HDF and NetCDF formats.