Initial release of `mne-lsl` for Python `3.9` to `3.12`. MNE-LSL integrates tightly [LSL](https://github.com/sccn/labstreaminglayer) streams with [MNE-Python](https://mne.tools/stable/index.html). It replaces the `LSLClient` in `mne_realtime` with 2 main objects:
- `mne_lsl.stream.StreamLSL`: connects to an LSL stream and acts as a `Raw` object which underlying data array is a ringbuffer continuously updated.
- `mne_lsl.player.PlayerLSL`: create a fake LSL stream from any MNE-readable file.
player = mne_lsl.player.PlayerLSL(...)
player.start()
stream = mne_lsl.stream.StreamLSL(...)
stream.connect()
stream.pick("eeg")
stream.set_eeg_reference("average")
data, ts = stream.get_data()
stream.disconnect()
player.stop()
Additionally, the low-level `mne_lsl.lsl` module re-implements a faster version of [pylsl](https://github.com/labstreaminglayer/pylsl) with convenience methods to set and retrieve metadata, for instance from an `mne.Info` object.
sinfo = mne_lsl.lsl.StreamInfo(...)
sinfo.set_channel_info(info)
info = sinfo.get_channel_info()
Please report encountered issues on the [tracker](https://github.com/mne-tools/mne-lsl/issues).