Data Cleaning and Analysis Pipeline for Hyperscanning Research
Project description
Hypline
Hypline is a Python package that provides a CLI tool for cleaning and analyzing data from hyperscanning studies involving dyadic conversations.
Installation
Hypline can be installed using pip:
pip install hypline
It can also be installed using other package managers such as uv and poetry.
Quick Start
Once the package is installed, hypline command will be available, like so:
hypline --help
Running the above will display an overview of the tool, including supported subcommands.
For instance, clean is a subcommand for performing confound regression to clean BOLD outputs from fMRIPrep, and its details can be viewed by running:
hypline clean --help
What Next
If you want to learn more about Hypline, please check out the official project documentation.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file hypline-0.2.4.tar.gz.
File metadata
- Download URL: hypline-0.2.4.tar.gz
- Upload date:
- Size: 114.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.7.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ed3778d528633f74542cfe4e8f89104c1d1aa833b2069be8014b95f895eadb7c
|
|
| MD5 |
fd35151238eba51946aa92dda350b7d0
|
|
| BLAKE2b-256 |
8cf992be32aa9c335e225b9a6c6d7abd354404aff051ad957b7654b12793b8be
|
File details
Details for the file hypline-0.2.4-py3-none-any.whl.
File metadata
- Download URL: hypline-0.2.4-py3-none-any.whl
- Upload date:
- Size: 10.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.7.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9bd62e620a53e5fcdf0e4db0e669dc4b66f6d2790e9d5cd74089310dcae0e47a
|
|
| MD5 |
976a015d3d0d359cb6a37525a8b01b6e
|
|
| BLAKE2b-256 |
9083825416ecb3e231076892370c58d2727e2b6b2649ed3fa2359177f73cc1f4
|
