AutoClean-View
AutoClean-View is a lightweight Python package for visualizing EEGLAB .set files using the modern MNE-QT Browser.
Features
- Load
.setEEG files - View using MNE's interactive Qt-based signal browser
- Easy CLI interface:
autoclean-view yourfile.set --view - Built on MNE-Python and mne-qt-browser
Installation
pip install autoclean-view
Usage
autoclean-view path/to/yourfile.set --view
Test with Simulated Data
The package includes scripts to generate and test with simulated EEG data:
-
Generate simulated data:
python scripts/generate_test_data.py --output data/simulated_eeg.set
-
Or run the all-in-one test script:
./scripts/test_with_simulated_data.sh
Simulation Options
python scripts/generate_test_data.py --help
Options include:
--duration: Length of simulated recording (seconds)--sfreq: Sampling frequency (Hz)--channels: Number of EEG channels--no-events: Disable simulated events--no-artifacts: Disable simulated artifacts
Requirements
- Python 3.9+
- macOS or Linux
- PyQt5 or compatible Qt backend
License
MIT License
Metadata
Release files for autoclean-view 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| autoclean_view-0.1.1.tar.gz | 5.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autoclean_view-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.8 kB
Release files / autoclean_view-0.1.1.tar.gz
| Download URL | autoclean_view-0.1.1.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.2
|
Release files / autoclean_view-0.1.1-py3-none-any.whl
| Download URL | autoclean_view-0.1.1-py3-none-any.whl |
|---|---|
| Size | 4.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ebe20775acbbdb44cd05d45e6791d576a84ba92f94ea5b4864c785ec2c7e07de
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BLAKE2b-256 checksum How to use checksums |
93f343599dfbaec9b0bb743a8a30ac56d0004eef061d10538ecb1f62cd8e6d1d
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.2
|
Security for autoclean-view 0.1.1
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