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The BCI Briefing

Benchmarking · Decoding

MOABB

The Mother of All BCI Benchmarks: reproducible evaluation of algorithms across many public EEG datasets.

  • Active
  • Widely used
  • Research-focused
github.com/NeuroTechX/moabb (opens in a new tab)Documentation (opens in a new tab)

What problem does it solve?

Results reported on a single dataset rarely generalise. MOABB standardises datasets, paradigms and evaluation so methods can be compared fairly.

Who is it for?

Anyone publishing or choosing an EEG decoding method

At a glance

Primary use
Benchmarking
Licence
BSD-3-Clause · permissive
Language
Python
Current release
v1.7.2, published 14 Sep 2026
Development activity
Last commit 29 Sep 2026 · repository created 15 May 2017
Maintainers
NeuroTechX and community
GitHub stars
1,060 as of 3 Oct 2026

Repository facts are a snapshot read from the GitHub API on 3 Oct 2026; they are reported as found, not scored.

Supported modalities and use

Modalities

Real-time capability

Primarily for offline analysis

Common use cases

  • Within- and cross-subject evaluation
  • One-line access to public datasets

How it fits into a BCI stack

  1. Hardware

    2 tools

  2. Acquisition

    3 tools

  3. Streaming

    3 tools

  4. Processing

    6 tools

  5. Decoding

    MOABB

  6. Applications

    2 tools

  7. Data & standards

    3 tools

Sources

  1. 01

    github.com/NeuroTechX/moabb (opens in a new tab)

    Open-source repositoryGitHubChecked against source 3 Oct 2026

    Repository metadata read from the GitHub API.