Skip to main content

Useful Matlab & Python tools for plotting and manipulating outputs from [HippUnfold](https://github.com/khanlab/hippunfold).

Example (Matlab): ` plot_subject_foldunfold(<HippUnfold_dir>, <subjectID>, 'subfields'); ` ![generated plot!](docs/images/subfields_foldunfold.png)

## Installation

Matlab:

` git clone https://github.com/jordandekraker/hippunfold_toolbox.git addpath(genpath('hippunfold_toolbox_Matlab')) `

Python:

` git clone https://github.com/jordandekraker/hippunfold_toolbox.git cd hippunfold_toolbox python setup.py install `

Metadata

Release files for hippunfold-toolbox 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for hippunfold-toolbox 0.1.2
File Size Uploaded Provenance Actions
hippunfold_toolbox-0.1.2.tar.gz 13.7 kB Without provenance Details for hippunfold_toolbox-0.1.2.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for hippunfold-toolbox 0.1.2
File Interpreter ABI Platform Actions
hippunfold_toolbox-0.1.2-py3-none-any.whl Python 3 none any Details for hippunfold_toolbox-0.1.2-py3-none-any.whl

Total release size: 22.5 kB

Release files / hippunfold_toolbox-0.1.2.tar.gz

Download URL hippunfold_toolbox-0.1.2.tar.gz
Size 13.7 kB
Tags Source
SHA-256 checksum
How to use checksums
342ac69dd31864ac68db53d362714c3c2b5ea8b84985e3b1a71043d1ea3ba76a
BLAKE2b-256 checksum
How to use checksums
17738358b7abad62929d53e699c41945bf7481a32217d11c88f3da004cd2f996
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.0

Release files / hippunfold_toolbox-0.1.2-py3-none-any.whl

Download URL hippunfold_toolbox-0.1.2-py3-none-any.whl
Size 8.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2ac73cdd4f826c8a1e3e9dd70f712592d870addd353e77d914874185fdd7533e
BLAKE2b-256 checksum
How to use checksums
a0822a929b2fb63ed6b4b3e88ca35a85f24eb01bcd17eca0f70dac8f985dc07f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.0

Security for hippunfold-toolbox 0.1.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page