ViTables has proved itself as an excellent solution for my research using high-density electrical neuroimaging. The efficiency with which it lets me graphically access HDF5 datasets, even extremely large ones, is simply unparalleled. Highly recommended!

Recently, I discovered the PyTables library which offers a convenient way to store my numerical data -- mostly present in form of time series -- in a HDF5 file. Through this storage format, I can preserve the properties of the time series (associated dates and masks) while storing the data on disk for later processing. ViTables offers an excellent way to inspect such data sets visually and moreover to query and explore the data sets. The developer is very responsive to questions and feature requests that improve user experience. I can recommend it to anyone working with scientifc data sets.