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osl-ephys

imported

software/osl-ephys

Electrophysiological Data Analysis Toolbox.

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

osl-ephys project image
GitHub preview card for OHBA-analysis/osl-ephys. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
OHBA-analysis
Country
unknown
Documentation
unknown
Tags
eeg · meg · python
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.

  • analyse_OPMEGeeg · meg

    Nic & Rob's lair of scripts to analyse OPM data, using the Fieldtrip toolbox

  • Evaluating methods for estimating aperiodic activity in electrophysiological data.

  • apertureeeg · meg

    Matlab toolbox for univariate and multivariate analysis of EEG data in the time and frequency domains

  • asrpyeeg · meg

    Artifact Subspace Reconstruction for Python

  • BIDS-Managereeg · meg

    GUI and CLI tool for raw-to-BIDS conversion, curation, metadata editing, and validation for MRI, EEG, MEG, and physiological recordings.

  • braindecodeeeg · meg

    Deep learning software to decode EEG, ECG or MEG signals

sources
  1. api.github.com/repos/OHBA-analysis/osl-ephys
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-02, 65 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as Apache-2.0, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/39.json→ .entries["osl-ephys"]

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