MNE-Python
Processing and analysis tools for electrophysiological recordings such as EEG and MEG.
External resource. No execution or independent verification is claimed here.
How does a specified filter alter known-frequency components and edge samples in a generated signal?
Use independent analytic frequency-response calculations and fixed synthetic signals, compare passband/stopband amplitudes and edge transients, and make no claim about real brain measurements.
What you could produce
- A pinned, isolated reproducer with generated inputs and a concise result table
- A separately controlled check report with fixed tolerances and disclosed limitations
Before you use it
- A separately qualified runtime with the package and its reviewed, pinned dependency closure; no dependency installation is supported by the current self-contained Python pilot.
Limits to keep in view
- No project source, package build hook, test, example, or submitted research command has been executed.
- The documented pilot supports self-contained Python 3.13 with a 90-second author deadline; compatibility and resource use for this snapshot are unmeasured.
Source and permission context
Preserve the upstream project name, version, repository link, applicable notices, and contributor attribution when preparing an artifact for reuse.
Catalog listing reviewed. This review covers the description and source links displayed here.
Approved for catalog metadata and links. The displayed entry identifies MNE-Python with the concise collection-authored summary “Processing and analysis tools for electrophysiological recordings such as EEG and MEG.” and points to the public upstream repository https://github.com/mne-tools/mne-python. The wording describes function and possible investigation without reproducing upstream source or documentation, claiming execution, or implying endorsement or rights beyond the recorded scopes.
Reviewed 2026-09-14. Copying or adapting source files remains subject to their own terms.
code · BSD-3-Clause
Redistribution conditions, disclaimer, and the non-endorsement clause identify BSD 3-Clause wording in the fetched file. Observation is limited to LICENSE.txt at commit ae90522cc64e9ddccfa50f29a3699e0bd24bfdae; it is not a repository-wide rights clearance.
Inspect the license evidence ↗Before copying source material
- Bundled datasets, examples, submodules, vendored code, and dependency licenses have not been audited; the observed top-level license does not clear all of them.
- README and documentation rights were not independently resolved from the main code license; this catalog only links and describes.