NeuroKit
Open-source Python Software for Physiological Signal Processing
NeuroKit ("nk") is an open source toolbox for physiological signal processing. The most recent version, NeuroKit2, is written in Python and is available from the PyPI package repository. As of June 2022, the software was used in 94 scientific publications.
NeuroKit2 is presented as one of the most popular and contributor-friendly open-source software for neurophysiology based on the number of downloads, the number of contributors, and other GitHub metricsa.
History
The first version of NeuroKit was created as a PhD side-project of Dominique Makowski in 2017. It was officially deprecated in 2020 and has been replaced by the current version, NeuroKit2. A few major updates have been released since:
February 08, 2021: The 0.1.0 release coincides with the first publication of the software.
May 18, 2022: The 0.2.0 release coincides with an overhaul of the documentation.
NeuroKit has received the 2024 Commendation Award from the Society for the Improvement of Psychological Science (SIPS).
Features
NeuroKit2 includes tools to work with cardiac activity from electrocardiography (ECG) and photoplethysmography (PPG), electrodermal activity (EDA), respiratory (RSP), electromyography (EMG), and electrooculography (EOG) signals.
Begin with the source’s own compact description: “NeuroKit” is open-source Python Software for Physiological Signal Processing. The dossier treats that line as a proposition to test through NeuroKit, Open-source and Python, not as a finished interpretation.
Why this record matters
The phrase “open-source Python Software for Physiological Signal Processing” supplies a clear boundary for inquiry. It also exposes the unanswered questions: who defined that boundary, when it became stable and which sources sit outside it.
Datasets, specimens, observations and peer-reviewed methods provide the appropriate test for the technical claims summarized here. The source revision retrieved here is dated Mar 12, 2026. The linked authority identifier is Q112189274. None of the 0 selected statements returned an explicit reference. The first chronological checks are 2022, 2017, 2020 and 2021.
A general summary may omit uncertainty, sample limits or methodological disagreement that is explicit in the technical record. The source lead contains qualifying language; that uncertainty should survive quotation, summary and reuse. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.
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Primary datasets, specimen catalogues, standards bodies and the most recent peer-reviewed literature.
Three-step research path
- Establish the record: confirm the title “NeuroKit”, its source revision and the description used here.
- Expand the search: follow NeuroKit primary sources, NeuroKit archive and NeuroKit research across catalogues and specialist indexes.
- Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.
Questions for further research
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This entry incorporates text from “NeuroKit” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.