Breesy
Easy EEG analysis for neuroscience.
Installation
pip install breesy
Quick Start
import breesy
# Load EEG data
recording = breesy.load.load_recording("your_data.mat")
# Basic preprocessing
clean = breesy.processing.mean_centering(recording)
filtered = breesy.processing.remove_powerline_noise(clean)
# Visualize
breesy.plots.plot_recording(filtered)
Features
- Load various EEG file formats
- Simple preprocessing and filtering
- Clear error messages with suggestions
Dependencies
- Numpy
- Matplotlib
- Scipy
- Scikit-learn
- tqdm
1 maintainer
Metadata
1 maintainer
Release files for breesy 0.4.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| breesy-0.4.2.tar.gz | 56.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| breesy-0.4.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 116.6 kB
Release files / breesy-0.4.2.tar.gz
| Download URL | breesy-0.4.2.tar.gz |
|---|---|
| Size | 56.6 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 |
twine/6.2.0 CPython/3.14.2
|
Release files / breesy-0.4.2-py3-none-any.whl
| Download URL | breesy-0.4.2-py3-none-any.whl |
|---|---|
| Size | 60.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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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 |
twine/6.2.0 CPython/3.14.2
|
