GUI viewers for HDF5 / NetCDF4 data

The options for graphically browsing and editing HDF5 data files from Linux, Mac and Windows include:


HDFview is maintained by the curators of the HDF5 format, the HDF Group. HDFView enables editing (writing) as well as reading HDF5.

  • Linux: apt install hdfview
  • Mac, Windows download

HDFview needs compiling if running from source, unlike ImageJ, which is a pure platform-independent Java program.

If the Linux distro HDFView is broken, simply download the CentOS HDFView binary–it will work on Ubuntu / Debian as well.


HDF Compass is also by the HDF Group. Unlike HDFView, HDF Compass is read-only.

apt install hdf-compass

Instead of using the menus, I typically open one or more HDF5/NetCDF4 files from Terminal like:

HDFCompass f1.h5


ViTables is a Python-based HDF5 viewing program.

apt install libhdf5-dev

pip install pyqt5

pip install vitables

Unfortunately at this time PyQT5 doesn’t have a .whl binary wheel for armhf, so that means ViTables only works on non-ARM systems (laptops, desktops, NOT Raspberry Pi).


PanoplyJ is downloaded for Mac, Linux or Windows. PanoplyJ does not require compiling, just run it using Java. Linux PanoplyJ requires Java 8 or newer, and can also work with Java 9.

apt install openjdk-8-jre

Extract PanoplyJ and make executable:

unzip PanoplyJ-4*.zip -d ~

chmod +x ~/PanoplyJ/

Run PanoplyJ by:


Make a command-line shortcut by adding to ~/.bash_aliases

alias panoply='$HOME/PanoplyJ/'

If you get PanoplyJ error

Unknown superblock version=3

You may have an older version of PanoplyJ whose NetCDF-Java library isn’t ready for HDF5 1.10. If you’re writing the HDF5 files from h5py, you can use in your Python program writing the data:

with h5py.File('myfile.h5', libver='earliest') as f:

which should write in an HDF5 1.8-compatible way.

Check HDF5 files for corruption