Skip to main content

Python interface to the Lab Streaming Layer

Project description

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

  • pip install pylsl

Get pylsl from source

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

  • Download the pylsl source: git clone https://github.com/labstreaminglayer/pylsl.git && cd pylsl
  • From the pylsl working directory, run pip install ..
    • Note: You can use pip install -e . to install while keeping the files in-place. This is convenient for developing 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.

  • The site-packages/pylsl path will only exist after you install pylsl in your Pyton environment.
  • You may have to create the lib subfolder.
  • Use python -m site to find the "site-packages" path.
  • Use cp -L on platforms that use symlinks.

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

  • At least for some versions of pylsl, it has been reported that running on Linux one cannot call pylsl functions from a thread that is not the main thread. This has been reported to cause access violations, and can occur during pulling from an inlet, and also from accessing an inlets info structure in a thread.
  • Recent tests with mulithreading (especially when safeguarding library calls with locks) using Python 3.7.6. with pylsl 1.14 on Linux Mint 20 suggest that this issue is solved, or at least depends on your machine. See https://github.com/labstreaminglayer/pylsl/issues/29

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

pylsl-1.16.2-py2.py3-none-win_amd64.whl (353.6 kB view details)

Uploaded Python 2 Python 3 Windows x86-64

pylsl-1.16.2-py2.py3-none-win32.whl (283.5 kB view details)

Uploaded Python 2 Python 3 Windows x86

pylsl-1.16.2-py2.py3-none-any.whl (36.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pylsl-1.16.2-py2.py3-none-win_amd64.whl.

File metadata

  • Download URL: pylsl-1.16.2-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 353.6 kB
  • Tags: Python 2, Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pylsl-1.16.2-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 827c7b75952a83aadbd6df8dd04adff6853a75c43c17b355370153cdb7c77d9f
MD5 e886108934d94e12871d3aad73260531
BLAKE2b-256 c5cc1f0e240ffca3c993b9e817ace77b37d5f60e7a17c09788ab58b1b91d82ed

See more details on using hashes here.

Provenance

File details

Details for the file pylsl-1.16.2-py2.py3-none-win32.whl.

File metadata

  • Download URL: pylsl-1.16.2-py2.py3-none-win32.whl
  • Upload date:
  • Size: 283.5 kB
  • Tags: Python 2, Python 3, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for pylsl-1.16.2-py2.py3-none-win32.whl
Algorithm Hash digest
SHA256 6138b0856e8653bbad6bfd043a62315fffbd6e21528ee905d1f989dbb7299322
MD5 9ca32167f286790e438cc6b92256e7b8
BLAKE2b-256 675917f0b884a4ce873360bd3f694ae66ba72da410d250c006afa35452648f6e

See more details on using hashes here.

Provenance

File details

Details for the file pylsl-1.16.2-py2.py3-none-any.whl.

File metadata

  • Download URL: pylsl-1.16.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 36.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for pylsl-1.16.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c7ebf9e0d96fe6c18bd4966dc734060900fabadd3cf30f652b256db732add5d7
MD5 e3ce41779f02a9d34f61c830f8a49619
BLAKE2b-256 12856fa5adfebde09524836fb8dbc1d9a35f990e2048708a426dc31d0603983b

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page