Releases: cbrnr/mnelab
Releases · cbrnr/mnelab
v1.0.0
Finally, MNELAB has reached the v1.0.0 milestone and is now considered stable (although far from feature complete) 🥳. The most important changes in this release are:
- UI improvements such as an improved sidebar (which now includes close buttons and a unique number for each dataset)
- Improved Montage dialog, which now includes a preview of the selected montage and the option to load a custom montage
- Improved Filter dialog with more filter types (including a notch filter)
- A new dialog to inspect channel statistics (such as minimum, maximum, mean, and median)
- Improved export to BrainVision format (annotations are now exported "as is" instead of converting them to "S 1" etc.)
- Several bug fixes and quality of life improvements
- Support for Python 3.13 (but we dropped support for Python 3.9)
As always, details can be found in the changelog.
v0.9.2
v0.9.1
This release adds the option to use the MNE-Qt-Browser plot backend instead of the default Matplotlib backend. You can set the backend in MNELAB's settings (Qt or Matplotlib). The MNE-Qt-Browser backend requires the mne-qt-browser
package to be installed (pip install mne-qt-browser
).
In addition, this release fixes drag and drop for upcoming PySide6 versions.
v0.9.0
This release adds several new features:
- Automatic light/dark theme switching on Windows (this has been available on macOS for several releases)
- Support for importing
.npy
files - Import specific XDF marker streams (previously, all marker streams were automatically imported)
We've also fixed some bugs and removed support for Python 3.8.