Overview
EEGUnity is a Python package for unified parsing, preprocessing, and export of large-scale EEG datasets.
For project background, see the paper: EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG Model
Project Documentation
- Online manual (API + tutorials): Read the docs
Usage in Python Project
1. Create a Python Environment
Use Python 3.6 or higher. Python 3.13 is currently not supported due to dependency compatibility limits.
2. Install EEGUnity
pip install eegunity
3. Import EEGUnity
from eegunity import UnifiedDataset
Tutorial Navigation
Core Tutorials
- How does EEGUnity support multi-modal data: Open
- How to Format Channel Name and Inspect Metadata: Open
- How to Make Standard Datasets: Open
- How to Process Data and Export as h5Dataset: Open
- How to Read h5Dataset: Open
Advanced Tutorials
1 maintainer
Metadata
1 maintainer
Release files for eegunity 0.8.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| eegunity-0.8.5.tar.gz | 119.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| eegunity-0.8.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 246.4 kB
Release files / eegunity-0.8.5.tar.gz
| Download URL | eegunity-0.8.5.tar.gz |
|---|---|
| Size | 119.5 kB |
| Tags | Source |
|
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
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Release files / eegunity-0.8.5-py3-none-any.whl
| Download URL | eegunity-0.8.5-py3-none-any.whl |
|---|---|
| Size | 126.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
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