{"library":"mne","type":"library","category":null,"description":"MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, NIRS, and more. It provides modules for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, and statistics. The library is actively developed, with stable releases occurring frequently, typically every few months.","language":"python","status":"active","version":"1.12.0","tags":["neuroscience","eeg","meg","ecog","nirs","data-analysis","signal-processing","brain-imaging","scientific-computing"],"install":[{"cmd":"pip install --upgrade mne","imports":["import mne","from mne.io import Raw","from mne import Epochs","from mne import Evoked","from mne.io import read_raw_fif","from mne.channels import pick_types"]}],"homepage":"https://mne.tools/","github":"https://github.com/mne-tools/mne-python","docs":"https://mne.tools/","changelog":null,"pypi":"https://pypi.org/project/mne/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":13.6,"avg_import_s":0.51,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/mne/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":null}}