• Original development in Ubuntu 20.04 and Python 3.8.8
• Also tested on Windows 10 and Ubuntu 22.04
• pip3 install -r requirements.txt

• python3 NPYViewer.py

• Open and view .npy files that contain 2D NumPy arrays and lists, as spreadsheets
• Convert .npy files to .csv format
• Convert .csv files to .npy format
• Export .npy files as .mat files (compatible with MATLAB and Octave)
• Plot 2D numpy arrays as grayscale images
• Plot 2D numpy arrays containing 3D coordinates as 3D point clouds
• Visualize heightmaps stored as 2D numpy arrays
• Visualize time series data stored as 1D numpy arrays
• Supports loading .npy files as command line arguments (e.g., python3 NPYViewer.py sample_npy_files/timeseries.npy)
• Visualize adjacency matrices (saved in .npy arrays) as directional edge weighted graphs
• Print numpy arrays in terminal through the use of the -noGUI argument (e.g., python NPYViewer.py sample_npy_files/timeseries.npy -noGUI)
• GUI developed using PyQT5

• Add/Remove Rows & Columns
• Copy/Paste Rows & Columns
• Data search and filtering
• Modify content datatypes
• Handle data with more than 2 dimensions

• Added application icon
• Fixed Bug: "View as Time Series" option was hidden in the "Functionalities" menu

This project is licensed under the MIT License - see the LICENSE.md file for details.