MNE-LSL

MNE-LSL: Real-time framework integrated with MNE-Python for online neuroscience research through LSL-compatible devices. - Published in JOSS (2025)

https://github.com/mne-tools/mne-lsl

Science Score: 100.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
✓
DOI references
Found 4 DOI reference(s) in README and JOSS metadata
✓
Academic publication links
Links to: joss.theoj.org
✓
Committers with academic emails
1 of 16 committers (6.3%) from academic institutions
○
Institutional organization owner
✓
JOSS paper metadata
Published in Journal of Open Source Software

Keywords

brain brain-computer-interfaces labstreaminglayer lsl network neuroimaging neuroscience real-time visualisation

Keywords from Contributors

eeg ecog electrocorticography electroencephalography magnetoencephalography meg bids ieeg mne eeg-analysis

Scientific Fields

Medicine Life Sciences - 84% confidence

Mathematics Computer Science - 84% confidence

Last synced: 6 months ago · JSON representation ·

Repository

A framework for real-time brain signal streaming with MNE-Python.

Basic Info

Host: GitHub
Owner: mne-tools
License: bsd-3-clause
Language: Python
Default Branch: main
Homepage: https://mne.tools/mne-lsl
Size: 15.3 MB

Statistics

Stars: 79
Watchers: 8
Forks: 34
Open Issues: 3
Releases: 29

Topics

brain brain-computer-interfaces labstreaminglayer lsl network neuroimaging neuroscience real-time visualisation

Created over 4 years ago · Last pushed 6 months ago

Metadata Files

Readme Contributing License Citation

MNE-LSL (Documentation website) provides a real-time brain signal streaming framework. MNE-LSL contains an improved python-binding for the Lab Streaming Layer C++ library, mne_lsl.lsl, replacing pylsl. This low-level binding is used in high-level objects to interact with LSL streams.

Any signal acquisition system supported by native LSL or OpenVibe is also supported by MNE-LSL. Since the data communication is based on TCP, signals can be transmitted wirelessly. For more information about LSL, please visit the LSL github.

Install

MNE-LSL supports python ≥ 3.10 and is available on PyPI and on conda-forge. Install instruction can be found on the documentation website.

Acknowledgment

MNE-LSL is based on BSL and NeuroDecode. The original version developed by Kyuhwa Lee was recognised at Microsoft Brain Signal Decoding competition with the First Prize Award (2016). MNE-LSL is based on the refactor version, BSL by Mathieu Scheltienne and Arnaud Desvachez for the Fondation Campus Biotech Geneva (FCBG) and development is still supported by the Fondation Campus Biotech Geneva (FCBG).

Copyright and license

The code is released under the BSD 3-Clause License.

Owner

Name: MNE tools for MEG and EEG data analysis
Login: mne-tools
Kind: organization

Website: http://mne.tools
Repositories: 45
Profile: https://github.com/mne-tools

JOSS Publication

MNE-LSL: Real-time framework integrated with MNE-Python for online neuroscience research through LSL-compatible devices.

Published

July 24, 2025

DOI

10.21105/joss.08088

Volume 10, Issue 111, Page 8088

Authors

Mathieu Scheltienne

Fondation Campus Biotech Geneva, Geneva, Switzerland

Eric Larson

Institute for Learning & Brain Sciences, University of Washington, Seattle, WA, United States of America

Arnaud Desvachez
Fondation Campus Biotech Geneva, Geneva, Switzerland

Kyuhwa Lee

Wyss Center for Bio and Neuroengineering, Geneva, Switzerland

Editor

Marcel Stimberg

Citation (CITATION.cff)

cff-version: "1.2.0"
authors:
- family-names: Scheltienne
  given-names: Mathieu
  orcid: "https://orcid.org/0000-0001-8316-7436"
- family-names: Larson
  given-names: Eric
  orcid: "https://orcid.org/0000-0003-4782-5360"
- family-names: Desvachez
  given-names: Arnaud
- family-names: Lee
  given-names: Kyuhwa
  orcid: "https://orcid.org/0000-0002-3854-4690"
doi: 10.5281/zenodo.16314799
message: If you use this software, please cite our article in the
  Journal of Open Source Software.
preferred-citation:
  authors:
  - family-names: Scheltienne
    given-names: Mathieu
    orcid: "https://orcid.org/0000-0001-8316-7436"
  - family-names: Larson
    given-names: Eric
    orcid: "https://orcid.org/0000-0003-4782-5360"
  - family-names: Desvachez
    given-names: Arnaud
  - family-names: Lee
    given-names: Kyuhwa
    orcid: "https://orcid.org/0000-0002-3854-4690"
  date-published: 2025-07-24
  doi: 10.21105/joss.08088
  issn: 2475-9066
  issue: 111
  journal: Journal of Open Source Software
  publisher:
    name: Open Journals
  start: 8088
  title: "MNE-LSL: Real-time framework integrated with MNE-Python for
    online neuroscience research through LSL-compatible devices."
  type: article
  url: "https://joss.theoj.org/papers/10.21105/joss.08088"
  volume: 10
title: "MNE-LSL: Real-time framework integrated with MNE-Python for
  online neuroscience research through LSL-compatible devices."

GitHub Events

Total

Create event: 62
Release event: 6
Issues event: 29
Watch event: 14
Delete event: 52
Issue comment event: 77
Push event: 179
Pull request review event: 27
Pull request review comment event: 26
Pull request event: 174
Fork event: 9

Last Year

Create event: 62
Release event: 6
Issues event: 29
Watch event: 14
Delete event: 52
Issue comment event: 77
Push event: 179
Pull request review event: 27
Pull request review comment event: 26
Pull request event: 174
Fork event: 9

Committers

Last synced: 7 months ago

All Time

Total Commits: 1,587
Total Committers: 16
Avg Commits per committer: 99.188
Development Distribution Score (DDS): 0.522

Past Year

Commits: 162
Committers: 11
Avg Commits per committer: 14.727
Development Distribution Score (DDS): 0.512

Top Committers

Name	Email	Commits
Mathieu Scheltienne	m**e@g**m	759
Arnaud Desvachez	a**z@g**m	414
Kyuhwa Lee	l**h@g**m	271
pre-commit-ci[bot]	6****]	74
github-actions[bot]	g****]	36
dependabot[bot]	4****]	19
Eric Larson	l**d@g**m	3
Teon L Brooks	t**s@g**m	2
Thomas S. Binns	t**s@o**m	2
Daniel McCloy	d**n@m**o	1
Marcel Stimberg	m**g@i**r	1
Quentin Uhl	5****l	1
Toni M. Brotons	1****c	1
Valeria de Seta	7****a	1
myd7349	m**9@g**m	1
Дим Щ	s**m@g**m	1

Committer Domains (Top 20 + Academic)

inserm.fr: 1 mccloy.info: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 63
Total pull requests: 467
Average time to close issues: 2 months
Average time to close pull requests: 3 days
Total issue authors: 18
Total pull request authors: 13
Average comments per issue: 1.62
Average comments per pull request: 0.36
Merged pull requests: 414
Bot issues: 5
Bot pull requests: 209

Past Year

Issues: 16
Pull requests: 210
Average time to close issues: 13 days
Average time to close pull requests: about 17 hours
Issue authors: 12
Pull request authors: 11
Average comments per issue: 2.13
Average comments per pull request: 0.4
Merged pull requests: 186
Bot issues: 1
Bot pull requests: 119

View more stats

Top Authors

Issue Authors

mscheltienne (39)
github-actions[bot] (4)
larsoner (2)
timonmerk (2)
teonbrooks (2)
matthiasdold (2)
willhama (1)
thiago-roque07 (1)
toni-neurosc (1)
listplot3d (1)
hoechenberger (1)
vferat (1)
DominiqueMakowski (1)
agchitu (1)
minsuzhang (1)

Pull Request Authors

mscheltienne (236)
pre-commit-ci[bot] (138)
github-actions[bot] (45)
dependabot[bot] (26)
larsoner (5)
tsbinns (4)
teonbrooks (4)
vferat (2)
toni-neurosc (2)
myd7349 (2)
mstimberg (1)
drammock (1)
sherdim (1)

Top Labels

Issue Labels

📓 doc (8) 🌟 enhancement (8) 🐞 bug (4) player (4) dependencies (2) triggers (2) viewer (2) recorder (1)

Pull Request Labels

📓 doc (36) dependencies (28) 🐞 bug (25) 🌟 enhancement (25) github_actions (13) player (10) stream (8)

Packages

Total packages: 1
Total downloads:
- pypi 2,862 last-month

Total dependent packages: 1
Total dependent repositories: 0
Total versions: 16
Total maintainers: 2

pypi.org: mne-lsl

Real-time framework integrated with MNE-Python for online neuroscience research through LSL-compatible devices.

Documentation: https://mne-lsl.readthedocs.io/
License: Copyright © 2023-2024, authors of MNE-LSL All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Latest release: 1.10.1
published 7 months ago

Versions: 16
Dependent Packages: 1
Dependent Repositories: 0
Downloads: 2,862 Last month

Rankings

Dependent packages count: 9.1%

Average: 38.7%

Dependent repos count: 68.3%

Maintainers (2)

Eric89GXL mscheltienne

Last synced: 6 months ago

Dependencies

.github/workflows/code-style.yml actions

actions/checkout v3 composite
actions/setup-python v4 composite
codespell-project/actions-codespell master composite
isort/isort-action master composite
psf/black stable composite
py-actions/flake8 v2 composite

.github/workflows/publish.yml actions

actions/checkout v3 composite
actions/setup-python v4 composite

.github/workflows/pytest.yml actions

actions/cache v3 composite
actions/checkout v3 composite
actions/setup-python v4 composite
codecov/codecov-action v3 composite

.github/workflows/doc.yml actions

JamesIves/github-pages-deploy-action v4 composite
actions/checkout v4 composite
actions/download-artifact v3 composite
actions/setup-python v4 composite
actions/upload-artifact v3 composite

.github/workflows/pylsl.yml actions

actions/checkout v4 composite
dacbd/create-issue-action main composite

pyproject.toml pypi

distro sys_platform == "linux"
mne >=1.4.2
numpy >=1.21
packaging *
pooch *
psutil *
pyqtgraph *
qtpy *
requests *
scipy *

setup.py pypi

MNE-LSL

Science Score: 100.0%

Keywords

Keywords from Contributors

Scientific Fields

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

Install

Acknowledgment

Copyright and license

Owner

JOSS Publication

MNE-LSL: Real-time framework integrated with MNE-Python for online neuroscience research through LSL-compatible devices.

Authors

Editor

Tags

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: mne-lsl

Rankings

Maintainers (2)

Dependencies