Skip to main content

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hypline-0.1.0.tar.gz (66.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hypline-0.1.0-py3-none-any.whl (9.8 kB view details)

Uploaded Python 3

File details

Details for the file hypline-0.1.0.tar.gz.

File metadata

  • Download URL: hypline-0.1.0.tar.gz
  • Upload date:
  • Size: 66.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.5

File hashes

Hashes for hypline-0.1.0.tar.gz
Algorithm Hash digest
SHA256 eb30484ab4b40dbbe9a1c6d504f0837f2b9d7e8c7e8615e63abcc7fa13c67446
MD5 1eab98e2f8dbc49b9fea752ceb9b4dba
BLAKE2b-256 ff3db014a8a702f89d4f924d41b440a981814cadbd863d977feec874687b792f

See more details on using hashes here.

File details

Details for the file hypline-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: hypline-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 9.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.5

File hashes

Hashes for hypline-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 28738a009ec593290ed3a5a4f585a5c7d5b2e9b1dea7c050207898318c94785c
MD5 b258f981f18854a7e96aba7ffc67e3cf
BLAKE2b-256 e55ec404dcbc55c718db0618f94aa1577fb93d12dcf73714d93c4a82cf58ecb1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page