{"library":"mne","title":"MNE-Python","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","last_verified":"Fri May 15","install":{"commands":["pip install --upgrade mne"],"cli":null},"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"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import mne\nimport numpy as np\n\n# Set MNE_DATA for sample dataset (optional, will download if not found)\nos.environ['MNE_DATA'] = os.environ.get('MNE_DATA', mne.utils.get_config('MNE_DATA', default=''))\n\n# Load a sample dataset\ndata_path = mne.datasets.sample.data_path()\nraw_fname = data_path / 'MEG' / 'sample' / 'sample_audvis_raw.fif'\n\n# Read raw data\nraw = mne.io.read_raw_fif(raw_fname, preload=True, verbose='error')\nraw.filter(1, 40, fir_design='firwin')\n\n# Set up events and epochs\nevents = mne.find_events(raw, stim_channel='STI 014')\nevent_id = {'aud/left': 1, 'aud/right': 2, 'vis/left': 3, 'vis/right': 4}\nt_min, t_max = -0.2, 0.5\nepochs = mne.Epochs(raw, events, event_id, t_min, t_max, preload=True, verbose='error')\n\n# Compute evoked response\nevoked = epochs['aud/left'].average()\n\n# Plot evoked data\nevoked.plot()\n\nprint(f\"Processed data has {len(epochs)} epochs and {len(raw.ch_names)} channels.\")","lang":"python","description":"This quickstart demonstrates loading a sample MEG/EEG dataset, applying a basic filter to the continuous data, defining events, creating epoched data, computing an evoked response, and finally plotting the evoked activity.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":{"tag":null,"tag_description":null,"last_tested":"2026-05-15","installed_version":"1.8.0","pypi_latest":"1.12.1","is_stale":true,"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":13.7,"avg_import_s":0.51,"wheel_type":"wheel"},"results":[{"runtime":"python:3.10-alpine","python_version":"3.10","os_libc":"alpine (musl)","variant":"--upgrade","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":0.45,"mem_mb":13.1,"disk_size":"347.5M"},{"runtime":"python:3.10-slim","python_version":"3.10","os_libc":"slim (glibc)","variant":"--upgrade","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":13.4,"import_time_s":0.4,"mem_mb":13.1,"disk_size":"335M"},{"runtime":"python:3.11-alpine","python_version":"3.11","os_libc":"alpine (musl)","variant":"--upgrade","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":0.62,"mem_mb":14.3,"disk_size":"374.9M"},{"runtime":"python:3.11-slim","python_version":"3.11","os_libc":"slim (glibc)","variant":"--upgrade","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":13.3,"import_time_s":0.57,"mem_mb":14.3,"disk_size":"359M"},{"runtime":"python:3.12-alpine","python_version":"3.12","os_libc":"alpine (musl)","variant":"--upgrade","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":0.6,"mem_mb":14,"disk_size":"358.2M"},{"runtime":"python:3.12-slim","python_version":"3.12","os_libc":"slim (glibc)","variant":"--upgrade","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":13.2,"import_time_s":0.61,"mem_mb":14,"disk_size":"342M"},{"runtime":"python:3.13-alpine","python_version":"3.13","os_libc":"alpine (musl)","variant":"--upgrade","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":0.52,"mem_mb":14.5,"disk_size":"356.7M"},{"runtime":"python:3.13-slim","python_version":"3.13","os_libc":"slim (glibc)","variant":"--upgrade","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":13,"import_time_s":0.53,"mem_mb":14.5,"disk_size":"341M"},{"runtime":"python:3.9-alpine","python_version":"3.9","os_libc":"alpine (musl)","variant":"--upgrade","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":0.42,"mem_mb":12.7,"disk_size":"344.7M"},{"runtime":"python:3.9-slim","python_version":"3.9","os_libc":"slim (glibc)","variant":"--upgrade","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":15.5,"import_time_s":0.35,"mem_mb":12.7,"disk_size":"337M"}]}}