# NeuroTechX/awesome-bci

Curated Collection of BCI resources

Repository: https://github.com/NeuroTechX/awesome-bci
Canonical: https://ross.abutalabs.com/products/awesome-bci
License Family: other
Last push: 2026-08-05T18:39:57+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 35, longevity 100
- inputs: {"age_days": 3855, "days_push": 28, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1524, forks 285 (observed 2026-08-28T04:04:58.171672+00:00)

## What it is
A curated awesome list of Brain-Computer Interface (BCI) resources maintained by the NeuroTechX community. It catalogs software toolboxes, hardware devices, datasets, tutorials, competitions, and reading materials related to neurotechnology.

## Use cases
- find open-source EEG analysis toolboxes
- learn how to get started with brain-computer interfaces
- discover BCI hardware and DIY EEG devices
- locate brain signal datasets for research
- find BCI competitions and conferences
- explore tutorials and project ideas for neurotech

## When to choose
- you are starting out in BCI and need a curated entry point
- you want to discover tools, datasets, and communities in neurotechnology
- you are building a BCI project and need hardware or software recommendations

## When to avoid
- you need a working software tool rather than a list of links
- you need up-to-date exhaustive coverage rather than a curated snapshot
- you need clinical-grade or certified neurotechnology solutions

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: awesome-lists, tutorials, artificial-intelligence, education
- platform: cross-platform
- tags: awesome-list, bci, brain-computer-interface, eeg, neuroscience, curated-resources

## Member repositories
- NeuroTechX/awesome-bci (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:58.171672+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:31:41.793191+00:00, confidence not recorded.
  - readme: https://github.com/NeuroTechX/awesome-bci (fetched 2026-08-28T04:04:58.171672+00:00, sha 7cd869f48c3b)
- Data as of 2026-08-30T08:39:29.467469+00:00.