---
id: mne-bids
version: "0.19.0"
license: BSD-3-Clause
license_treatment: permissive
maintenance: active
---

# mne-bids — MNE-BIDS: Organizing MEG, EEG, and iEEG data according to the BIDS specification and facilitating their analysis with MNE-Python

License: permissive · Maintenance: active · Downloads: 119.6K/mo

## What it is and 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.

The 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.

Use it for:

- 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.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

MNE-BIDS reads and writes neuroimaging datasets in BIDS format, enabling standardized organization and analysis of MEG, EEG, and iEEG data with MNE-Python.

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.

## Install

pip install mne-bids
uv add mne-bids
poetry add mne-bids

## Installing mne-bids

Before you install: Low friction: pure Python wheel with only three runtime dependencies (mne, numpy, scipy). Active maintenance with a release 80 days ago and ongoing commits. Supports current Python versions (3.11–3.14).

License in practice: BSD-3-Clause is permissive; you can use, modify, and distribute this package with minimal restrictions, provided you retain the license notice.

Quickstart:

pip install mne-bids

import mne_bids
from mne_bids import write_raw_bids

# write_raw_bids(raw, bids_path, overwrite=True)

Requires MNE-Python and its dependencies (numpy, scipy) to be installed; MNE itself may require additional system libraries for data I/O.

Verify before relying:

- Whether the package handles all BIDS data types (MEG, EEG, iEEG, NIRS, Motion) equally well or if some have better support.
- Performance characteristics when working with large datasets or many subjects.
- Compatibility with the mne-bids-pipeline mentioned in the description.

## Package facts

- License: BSD-3-Clause (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 119.6K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

bids neuroimaging data format, meg eeg ieeg organization, mne python bids conversion, brain imaging data structure, electrophysiology data standardization, neuroimaging pipeline integration, bids dataset reader writer, neuroimaging, bids-standard, electrophysiology

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