This library is a Python package containing format converters and convenience scripts and tools for working with the NIX (Neuroscience information exchange) format.
This library contains convenience scripts for
- plotting data stored in the NIX format
- importing data from a Python pandas DataFrame into a NIX DataFrame
The library contains converter tools to converter data between NIX and other neuroscience specific data formats. Currently the following converters are available:
- MEG and EEG analysis and visualisation: the MNE analysis format
- Neurodata without borders: the NWB data format
Both converters can be found in
nixworks/converters. More information on both converters can be found in the
The NIX (Neuroscience information exchange) format
The NIX data model allows to store fully annotated scientific datasets, i.e. the data together with its metadata within the same container. Our aim is to achieve standardization by providing a common/generic data structure for a multitude of data types.
The source code of the core python library is freely available on
GitHub and can be installed via the
Python package manager
pip by typing
pip install nixio.
More information about the project including related projects as well as tutorials and examples can be found at our odML project page.