Skip to main content

VneuroTK

PyPI version CI/CD Documentation

A python toolkit for visual neuroscience

Installation

vneurotk requires PyTorch, but does not install it automatically. Install it first to match your hardware:

# uv(自动检测 CUDA 版本)
uv pip install torch --torch-backend=auto

# 或前往官网选择适合你的版本:https://pytorch.org/get-started/locally/

Then install this package:

pip install vneurotk

Optional dependencies:

pip install "vneurotk[mne]"          # MEG analysis: mne, mne-bids
pip install "vneurotk[notebook]"     # Jupyter: ipykernel, ipywidgets
pip install "vneurotk[timm]"         # timm models
pip install "vneurotk[thingsvision]" # thingsvision
pip install "vneurotk[cebra]"        # CEBRA

Install multiple extras at once:

pip install "vneurotk[mne,notebook]"

Metadata

Release files for vneurotk 0.0.1

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

Source distribution (sdist)

Source distribution for vneurotk 0.0.1
File Size Uploaded Provenance Actions
vneurotk-0.0.1.tar.gz 357.8 kB With provenance Details for vneurotk-0.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for vneurotk 0.0.1
File Interpreter ABI Platform Actions
vneurotk-0.0.1-py3-none-any.whl Python 3 none any Details for vneurotk-0.0.1-py3-none-any.whl

Total release size: 434.6 kB

Release files / vneurotk-0.0.1.tar.gz

Download URL vneurotk-0.0.1.tar.gz
Size 357.8 kB
Tags Source
SHA-256 checksum
How to use checksums
0781675d41356a550584020fddc589586d11a6cb2662d50af79bec7cfba2b6ee
BLAKE2b-256 checksum
How to use checksums
db4c469e6673cf9cd3885c123ffe1666de02ed14ed61ce3b48ff734416ccb450
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 15, 2026.

Transparency log

Release files / vneurotk-0.0.1-py3-none-any.whl

Download URL vneurotk-0.0.1-py3-none-any.whl
Size 76.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
13f8b78e855cb964a4c2907fc9c4a711c1a5c8f3fb9aeb53b9b66835fa5a0a86
BLAKE2b-256 checksum
How to use checksums
47d3042b83e4e323e0cfee98abbca173b082ba57cb69578d9f5f6a0273927cce
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 15, 2026.

Transparency log

Security for vneurotk 0.0.1

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.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for vneurotk-0.0.1.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 15, 2026.

Transparency log

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.

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files Full provenance

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