MNE-LSL

Open-source Python package for real-time brain signal streaming framework based on the Lab Streaming Layer (LSL).

Install

MNE-LSL is available on PyPI and conda-forge.

MNE installers

As of MNE-Python 1.6, mne-lsl is distributed in the MNE standalone installers.

The installers create a conda environment with the entire MNE-ecosystem setup, and more! This installation method is recommended for beginners.

PyPI

mne-lsl can be installed from PyPI using pip:

$ pip install mne-lsl

Conda

mne-lsl can be installed from conda-forge using conda:

$ conda install -c conda-forge mne-lsl

Source

mne-lsl can be installed from GitHub or from the Source distribution. In this case, the installation will build liblsl.

$ pip install git+https://github.com/mne-tools/mne-lsl

If you wish to skip building liblsl, you can set the environment variable MNE_LSL_SKIP_LIBLSL_BUILD to 1 before running the installation, and use the environment variable MNE_LSL_LIB or PYLSL_LIB to specify the path to the liblsl library on your system.

$ MNE_LSL_SKIP_LIBLSL_BUILD=1 pip install git+https://github.com/mne-tools/mne-lsl

Supporting institutions

The development of MNE-LSL is supported by the Fondation Campus Biotech Geneva.