{"id":13688884,"url":"https://github.com/mne-tools/mne-bids-pipeline","last_synced_at":"2026-06-14T17:32:06.879Z","repository":{"id":37815306,"uuid":"167957354","full_name":"mne-tools/mne-bids-pipeline","owner":"mne-tools","description":"Automatically process entire electrophysiological datasets using MNE-Python.","archived":false,"fork":false,"pushed_at":"2026-06-05T03:57:48.000Z","size":678820,"stargazers_count":163,"open_issues_count":76,"forks_count":84,"subscribers_count":12,"default_branch":"main","last_synced_at":"2026-06-07T16:04:29.644Z","etag":null,"topics":["bids","group-analysis","mne-python","neuroscience","pipeline","python"],"latest_commit_sha":null,"homepage":"https://mne.tools/mne-bids-pipeline/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mne-tools.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2019-01-28T12:18:07.000Z","updated_at":"2026-06-05T03:19:36.000Z","dependencies_parsed_at":"2023-02-12T23:31:50.746Z","dependency_job_id":"5fa14ca9-fc27-45e0-b22e-f380d1b23294","html_url":"https://github.com/mne-tools/mne-bids-pipeline","commit_stats":null,"previous_names":[],"tags_count":15,"template":false,"template_full_name":null,"purl":"pkg:github/mne-tools/mne-bids-pipeline","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mne-tools%2Fmne-bids-pipeline","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mne-tools%2Fmne-bids-pipeline/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mne-tools%2Fmne-bids-pipeline/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mne-tools%2Fmne-bids-pipeline/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mne-tools","download_url":"https://codeload.github.com/mne-tools/mne-bids-pipeline/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mne-tools%2Fmne-bids-pipeline/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34331808,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-14T02:00:07.365Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bids","group-analysis","mne-python","neuroscience","pipeline","python"],"created_at":"2024-08-02T15:01:26.411Z","updated_at":"2026-06-14T17:32:06.867Z","avatar_url":"https://github.com/mne-tools.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# \u003cimg src=\"https://raw.github.com/mne-tools/mne-bids-pipeline/main/docs/source/assets/mne.svg\" alt=\"MNE Logo\" height=\"20\"\u003e MNE-BIDS-Pipeline\n\n\u003c!--keep description in sync with pyproject.toml--\u003e\n\n\u003c!--tagline-start--\u003e\n**MNE-BIDS-Pipeline is a full-flegded processing pipeline for your MEG and\nEEG data.**\n\n* It operates on data stored according to the [Brain Imaging Data\nStructure (BIDS)](https://bids.neuroimaging.io/).\n* Under the hood, it uses [MNE-Python](https://mne.tools).\n\n\u003c!--tagline-end--\u003e\n\n## 💡 Basic concepts and features\n\n\u003c!--features-list-start--\u003e\n\n* 🏆 Automated processing of MEG and EEG data from raw data to inverse solutions.\n* 🛠️ Configuration via a simple text file.\n* 📘 Extensive processing and analysis summary reports.\n* 🧑‍🤝‍🧑 Process just a single participant, or as many as several hundreds of participants – in parallel.\n* 💻 Execution via an easy-to-use command-line utility.\n* 🆘 Helpful error messages in case something goes wrong.\n* 👣 Data processing as a sequence of standard processing steps.\n* ⏩ Steps are cached to avoid unnecessary recomputation.\n* ⏏️ Data can be \"ejected\" from the pipeline at any stage. No lock-in!\n* ☁️ Runs on your laptop, on a powerful server, or on a high-performance cluster via Dask.\n\n\u003c!--features-list-end--\u003e\n\n## 📘 Installation and usage instructions\n\nPlease find the documentation at\n[**mne.tools/mne-bids-pipeline**](https://mne.tools/mne-bids-pipeline).\n\n## ❤ Acknowledgments\n\nThe original pipeline for MEG/EEG data processing with MNE-Python was built\njointly by the [Cognition and Brain Dynamics Team](https://brainthemind.com/)\nand the [MNE Python Team](https://mne.tools), based on scripts originally\ndeveloped for this publication:\n\n\u003e M. Jas, E. Larson, D. A. Engemann, J. Leppäkangas, S. Taulu, M. Hämäläinen,\n\u003e A. Gramfort (2018). A reproducible MEG/EEG group study with the MNE software:\n\u003e recommendations, quality assessments, and good practices. Frontiers in\n\u003e neuroscience, 12. \u003chttps://doi.org/10.3389/fnins.2018.00530\u003e\n\nThe current iteration is based on BIDS and relies on the extensions to BIDS\nfor EEG and MEG. See the following two references:\n\n\u003e Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G.,\n\u003e Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension\n\u003e to the brain imaging data structure for electroencephalography. Scientific\n\u003e Data, 6, 103. \u003chttps://doi.org/10.1038/s41597-019-0104-8\u003e\n\n\u003e Niso, G., Gorgolewski, K. J., Bock, E., Brooks, T. L., Flandin, G., Gramfort, A.,\n\u003e Henson, R. N., Jas, M., Litvak, V., Moreau, J., Oostenveld, R., Schoffelen, J.,\n\u003e Tadel, F., Wexler, J., Baillet, S. (2018). MEG-BIDS, the brain imaging data\n\u003e structure extended to magnetoencephalography. Scientific Data, 5, 180110.\n\u003e \u003chttps://doi.org/10.1038/sdata.2018.110\u003e\n\n## Contributing\n\nsee \u003c./CONTRIBUTING.md\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmne-tools%2Fmne-bids-pipeline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmne-tools%2Fmne-bids-pipeline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmne-tools%2Fmne-bids-pipeline/lists"}