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mne-lsl

imported

software/mne-lsl

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

Machine-generated from the listed sources and not yet reviewed by a human.

mne-lsl project image
GitHub preview card for mne-tools/mne-lsl. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
mne-tools
Country
unknown
Documentation
unknown
Tags
brain · brain-computer-interfaces · labstreaminglayer · lsl · network · neuroimaging · neuroscience · real-time
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • demo-realtimebrain · labstreaminglayer · neuroscience · real-time

    Real-time EEG demonstration loops using LSL

  • openbci-brainflow-lsllabstreaminglayer · lsl · neuroscience

    Use BrainFlow to read data from Open BCI board and send it as Lab Streaming Layer streams

  • App-SigVisualizerlabstreaminglayer · lsl

    PyQt5 application for real time signal visualization

  • App-XDFStreamerlabstreaminglayer · lsl

    Qt C++ application for streaming signals stored in Extensible Data Format (XDF)

  • pybcilabstreaminglayer · lsl

    Create real-time BCI's with the LSL, PyTorch, SKLearn and TensorFlow packages.

  • rteeglabstreaminglayer · real-time

    [DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time

sources
  1. api.github.com/repos/mne-tools/mne-lsl
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-03, 90 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/35.json→ .entries["mne-lsl"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.