Hierarchical Event Descriptor (HED) Python Tools

Links

• PDF docs

• Source code

Note: this is a work in progress. More information is coming.

Introduction to HED

Why HED?

Why use HED?

HED (Hierarchical Event Descriptors) is an infrastructure and a controlled vocabulary that allows researchers to annotate their experimental data, especially events, so that tools can automatically use this information in analysis.

For more information on using Hierarchical Event Descriptors (HED) visit HED examples:

Installing hedtools

Hedtools will be available soon on pypi, but in the meantime, you can install directly from the GitHub repository using the following command:

`code >>> pip install git+https://github.com/hed-standard/hed-python.git `

Finding help

Documentation:

See HED resources for user documentation and tutorials.

The HED online tools provide an easy-to-use interface that requires no programming.

Mailing lists and forums:

• Don’t hesitate to ask questions about the python hedtools on NeuroStars.

Issues and problems:

• If you notice a bug in the python hedtools code or encounter other problems using the tools, please open an issue in the hed-python repository on github.

HED tools user guide

HED API reference

errors
models	Data structures for HED tag handling.
schema	Data structures for handling the HED schema.
tools	HED remodeling, analysis and summarization tools.
validator	Validation of HED tags.

Indices and tables

• Index

• Module Index

• Search Page