GIOVAOpen demo ↗GIOVA · OPEN BIOSIGNAL LAB
Explore EEG, connect your analysis
and inspect every step.
Local processing · Original GIOVA Python modules
A WORKFLOW YOU CAN FOLLOW
Your analysis should be as clear
as the question behind it.
Bring a recording into the Workbench, connect processing blocks, and inspect the settings and results at each step.
Keep your signal, processing and features in one connected pipeline.
Select a block. Its settings and output appear in the Inspector beside your workflow.
The desktop application adds advanced analysis, reports and Python exports.
THE WEB EDITION
Open a CSV or start with an example. Explore your signal, filter it and see the results.
Launch web demo ↗Your data stays on your computer.
WATCH & LEARN
Short walkthroughs of GIOVA, from your first block to your first result.
Video guides are on their way.
Filmed in the real application. More short guides are on their way: GIOVA Lab on YouTube ↗
Desktop versions, package dates and release availability.
| VERSION | PACKAGE DATE | PLATFORM | RELEASE STATUS | DOWNLOAD |
|---|---|---|---|---|
| Loading versions… | ||||
Package dates identify local builds. Public release dates and download links appear after publication. Try the web edition now ↗
BUILT IN THE OPEN
GIOVA is being developed as an open-source, open-access biosignal laboratory.
Found a rough edge? Have an idea for a block, a workflow or a clearer explanation? Help shape what comes next.
Ideas, bug reports, code and documentation: contributions will open with the public repository.
Explore the project & methods ↗STANDING ON SHOULDERS
GIOVA is free software (GPL-3.0) built on the libraries below, each under its own licence. The full list (48 packages) and their licence texts ship with the program, in THIRD_PARTY_NOTICES.md and the licenses folder. Versions are those of GIOVA 1.0.0 for Windows; the web edition runs on Pyodide 0.27.7 with its own NumPy 2.0.2 and SciPy 1.14.1.
| LIBRARY | VERSION | WHAT GIOVA USES IT FOR | LICENCE |
|---|---|---|---|
| MNE-Python | 1.12.1 | Reading EEG files, montages, ICA | BSD-3-Clause |
| NumPy | 2.5.3 | Arrays and numerics | BSD-3-Clause |
| SciPy | 1.18.1 | Filters, Welch PSD, FFT, statistics | BSD-3-Clause |
| scikit-learn | 1.9.1 | LDA, SVM, logistic regression, random forest, kNN, cross-validation | BSD-3-Clause |
| pyRiemann | 0.12 | Covariance, tangent space, MDM | BSD-3-Clause |
| PyWavelets | 1.8.0 | Wavelet denoising, DWT bands, Morlet CWT | MIT |
| pandas | 3.0.5 | Tables and CSV files | BSD-3-Clause |
| h5py, pymatreader | 3.16.0, 1.3.2 | MATLAB v7.3 and EEGLAB files | BSD |
| BrainFlow | 5.22.2 | Live streaming from OpenBCI and Unicorn boards | MIT |
| PySide6 (Qt for Python) | 6.8.1.1 | The desktop interface | LGPL-3.0 |
| pyqtgraph | 0.14.0 | Fast plots of signals and results | MIT |
| Matplotlib | 3.11.1 | Figures in reports and exported code | PSF-based |
| pygame | 2.6.1 | The neurofeedback games | LGPL |
| Pyodide | 0.27.7 | The web edition: GIOVA's Python engine in your browser | MPL-2.0 |
CONTACT
Write to us. Reports of something that went wrong, ideas for a block, or a dataset GIOVA should read: all welcome.
giova.biosignal@gmail.comNew guides appear first on our YouTube channel ↗.