{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/16"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/7"}],"enrichment":{"capability":"MNE-BIDS reads and writes neuroimaging datasets in BIDS format, enabling standardized organization and analysis of MEG, EEG, and iEEG data with MNE-Python.","skillfed_tags":["neuroimaging","bids-standard","electrophysiology"],"use_cases":["Convert raw MEG, EEG, or iEEG recordings into BIDS-compliant directory structures for archival and sharing.","Read BIDS-formatted datasets into MNE-Python for analysis without manual file organization.","Prepare data for automated neuroimaging pipelines that expect BIDS input.","Standardize electrophysiology data collection across multiple subjects or sessions in a research study.","Facilitate reproducible research by ensuring collaborators receive data in a consistent, well-documented format."],"what_it_does":"MNE-BIDS bridges MNE-Python and the Brain Imaging Data Structure (BIDS) standard, allowing you to read and write neuroimaging datasets in a standardized format. It handles MEG, EEG, and iEEG data, making it easier to organize, share, and analyze electrophysiological recordings. The package depends on MNE-Python, numpy, and scipy, so you need the full MNE stack installed.\n\nThe primary goal is to reduce coding friction and improve reproducibility by standardizing how neuroimaging data is stored and organized. BIDS format also enables integration with automated analysis pipelines and facilitates collaboration by ensuring your data follows a widely-recognized specification. It's particularly useful if you're working in a lab setting where data sharing and pipeline reuse are common.","worth_installing":"Yes. MNE-BIDS is actively maintained, has low install friction, carries a permissive license, and solves a real problem for neuroimaging researchers: standardizing electrophysiology data organization. If you work with MEG, EEG, or iEEG data and use MNE-Python, this package is the standard way to organize and share your data. No known security issues."},"id":"mne-bids","links":{"html":"https://skillfed.io/packages/mne-bids","md":"https://skillfed.io/packages/mne-bids.md","pypi":"https://pypi.org/project/mne-bids/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-26","license_spdx":null,"license_treatment":"permissive","name":"mne-bids","python_support":"supports_current","summary":"MNE-BIDS: Organizing MEG, EEG, and iEEG data according to the BIDS specification and facilitating their analysis with MNE-Python"},"popularity":{"monthly_downloads":119618,"position":12060,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.19.0"}