# brainflow-dev/brainflow

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

Repository: https://github.com/brainflow-dev/brainflow
Canonical: https://ross.abutalabs.com/products/brainflow
Homepage: https://brainflow.org/
Language: C++
License: NOASSERTION
License Family: other
Topics: eeg, eeg-analysis, brain-computer-interface, brain-machine-interface, brain-control, bci, signal-processing, biosensors, biosignals, biosensor, emg, emg-signal, ecg, brainflow, neuroscience, python, muse, openbci
Last push: 2026-08-21T02:48:03+00:00

## Health v2 (maintenance only)
Score: 90/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 73, longevity 100
- inputs: {"age_days": 2971, "days_push": 12, "days_rel": 103, "gap_med": 54, "n_releases_24m": 12}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1738, forks 412 (observed 2026-08-28T04:05:29.966002+00:00)

## What it is
BrainFlow is a C/C++ core library with bindings for nine languages that provides a uniform SDK for acquiring, parsing, and analyzing data from biosensors such as EEG, EMG, and ECG devices. It includes a device-agnostic data acquisition API plus signal processing and ML APIs for filtering, denoising, and computing derivative metrics from raw signals.

## Use cases
- stream EEG data from OpenBCI or Muse headsets in Python
- build a brain-computer interface application
- filter and denoise EMG signals
- analyze ECG recordings
- switch biosensor devices without changing application code
- compute band powers or concentration metrics from raw EEG
- acquire biosensor data in Java, C#, Rust, or Matlab

## When to choose
- you need a uniform, board-agnostic API across many biosensor devices
- you want multi-language bindings with identical APIs
- you need both data acquisition and signal processing in one SDK
- you are building BCI or neurofeedback applications

## When to avoid
- you need a GUI for viewing biosensor data rather than a library
- your device is not among the supported boards and you cannot add a board plugin
- you only need general-purpose DSP unrelated to biosensors

## Facets
- artifact type: library
- maturity: active
- function: sdk, machine-learning, data-science, parser
- domain: healthcare
- platform: cross-platform, python, cpp, jvm, dotnet, rust
- tags: eeg, emg, ecg, biosensors, bci, openbci, muse, signal-filtering, data-acquisition, neurointerfaces, neuroscience, biosignals, signal-processing, brain-computer-interface, wearables, julia, matlab, r, typescript

## Member repositories
- brainflow-dev/brainflow (main) score 90

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:29.966002+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 2026-08-30T03:30:36.029508+00:00, confidence not recorded.
  - readme: https://github.com/brainflow-dev/brainflow (fetched 2026-08-28T04:05:29.966002+00:00, sha 3bbc4f511d45)
  - homepage: https://brainflow.org/ (fetched 2026-08-29T11:07:39.898473+00:00, sha 8523f41458e5)
  - site_page: https://brainflow.org/features (fetched 2026-08-29T11:07:39.907400+00:00, sha 17bc2fe4a3e9)
- Data as of 2026-08-30T08:39:29.467469+00:00.