labstreaminglayer / pylsl

Python bindings (pylsl) for liblsl
MIT License
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labstreaminglayer lsl

pylsl

publish workflow PyPI version

This is the Python interface to the Lab Streaming Layer (LSL). LSL is an overlay network for real-time exchange of time series between applications, most often used in research environments. LSL has clients for many other languages and platforms that are compatible with each other.

Let us know if you encounter any bugs (ideally using the issue tracker on the GitHub project).

Installation

Prerequisites

On all non-Windows platforms and for some Windows-Python combinations, you must first obtain a liblsl shared library. See the liblsl repo documentation for further details.

Get pylsl from PyPI

Get pylsl from source

This should only be necessary if you need to modify or debug pylsl.

Usage

See the examples in pylsl/examples. Note that these can be run directly from the commandline with (e.g.) python -m pylsl.examples.{name-of-example}.

You can get a list of the examples with python -c "import pylsl.examples; help(pylsl.examples)"

liblsl loading

pylsl will search for liblsl first at the filepath specified by an environment variable named PYLSL_LIB, then in the package directory (default location for Windows), then finally in normal system library folders.

If the shared object is not installed onto a standard search path (or it is but can't be found for some other bug), then we recommend that you copy it to the pylsl installed module path's lib subfolder. i.e. {path/to/env/}site-packages/pylsl/lib.

Alternatively, you can use an environment variable. Set the PYLSL_LIB environment variable to the location of the library or set LD_LIBRARY_PATH to the folder containing the library. For example,

  1. PYLSL_LIB=/usr/local/lib/liblsl.so python -m pylsl.examples.{name-of-example}, or
  2. LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib python -m pylsl.examples.{name-of-example}

For maintainers

Continuous Integration

pylsl uses continuous integration and distribution. GitHub Actions will upload a new release to pypi whenever a Release is created in GitHub. Before creating the GitHub release, be sure to bump the version number in pylsl/version.py and consider updating the liblsl dependency in .github/workflows/publish-to-pypi.yml.

Linux Binaries Deprecated

We recently stopped building binary wheels for Linux. In practice, the manylinux dependencies were often incompatible with real systems.

Manual Distribution

  1. Manual way:
    1. rm -Rf build dist *.egg-info
    2. python setup.py sdist bdist_wheel
    3. Additional steps on Linux:
      • auditwheel repair dist/*.whl -w dist
      • rm dist/*-linux_x86_64.whl
    4. twine upload dist/*
  2. For conda
    1. build liblsl: conda build ../liblsl/
    2. conda build .

Known Issues with Multithreading on Linux

Acknowledgments

Pylsl was primarily written by Christian Kothe while at Swartz Center for Computational Neuroscience, UCSD. The LSL project was funded by the Army Research Laboratory under Cooperative Agreement Number W911NF-10-2-0022 as well as through NINDS grant 3R01NS047293-06S1. pylsl is maintained primarily by Chadwick Boulay. Thanks for contributions, bug reports, and suggestions go to Bastian Venthur, David Medine, Clemens Brunner, and Matthew Grivich.