HDF5 Files are developed by the HDF Group. Each File can contain Groups that work similarly to folders and Datasets that represent raw data. They are widely used in Industry and Academia to store large sets of raw data.
- Open, or simply Drag&Drop, h5 files to view all groups and datasets
- Supports remote files on a NAS for example
- Display datasets as graphs or text
- Export files to various other file formats
Files can be opened either by double-clicking, drag-and-drop or via the File menu.
Simply download and execute the HDF5Viewer_Windows_Installer_*version*.exe
from the Releases page
and follow the instructions.
Download the hdf5viewer_*version*_all.deb package from the
Releases page.
Open a Terminal in the Download Folder and install the package with
sudo apt install ./hdf5viewer_*version*_all.deb
This will install the program in /usr/bin/hdf5viewer/hdf5viewer.
You will have to manually create a desktop shortcut and associate file extensions with the program.
Running python pyinstaller.py will generate the binary in /dist/main/main.
Use the windows/compile.iss script with Inno Setup to generate Installer on Windows.
Run make build with build-essential devscripts debhelper installed to generate a deb package on Linux.
For all other Linux Distros you will have to download the Source Code and build it for yourself. I suggest creating a Python Virtual Environment:
python3 -m venv venv
source venv/bin/activate
pip install requirements.txt
python main.py
The following Python libraries are used in this project:
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