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fooof

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software/fooof

Parameterizing neural power spectra into periodic & aperiodic components.

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

fooof project image
GitHub preview card for fooof-tools/fooof. 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
fooof-tools
Country
unknown
Homepage
fooof-tools.github.io/fooof/
Repository
github.com/fooof-tools/fooof
Documentation
unknown
Tags
aperiodic-exponent · eeg · fooof · ieeg · lfp · local-field-potential · meg · neuroscience
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.

  • AperiodicMethodsaperiodic-exponent · eeg · ieeg · meg · neuroscience

    Evaluating methods for estimating aperiodic activity in electrophysiological data.

  • pyrasaaperiodic-exponent · eeg · meg · neuroscience

    a package for spectral parametrization in python based on the IRASA algorithm

  • electroCUDAeeg · ieeg · meg · neuroscience

    Robust electrophysiology tools with GPU acceleration

  • NeuroAnalyzer.jleeg · ieeg · meg · neuroscience

    Julia toolbox for analyzing neurophysiological data

  • DDALABeeg · ieeg · neuroscience

    DDALAB is a software platform for analyzing physiological time-series data using Delay Differential Analysis (DDA).

  • Waveform-EEG-AIStudioeeg · ieeg · neuroscience

    An agentic workspace for exploring, analyzing, visualizing, and annotating EEG/iEEG signals. Includes a tool-using agent, local Python analysis, multi-scale rendering, and HDF5/EDF support.

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

    Machine-imported from GitHub search. Last push 2026-06-23, 444 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/10.json→ .entries["fooof"]

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