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The BCI Briefing

Online / real-time BCI · Streaming

ezmsg

A Python framework for building real-time signal-processing graphs with shared-memory messaging.

  • Active
  • Early
  • Real-time ready
github.com/ezmsg-org/ezmsg (opens in a new tab)Documentation (opens in a new tab)

What problem does it solve?

Closed-loop systems need modular processing with low latency across processes, without a heavyweight middleware.

Who is it for?

Engineers building closed-loop research systems in Python

At a glance

Primary use
Online / real-time BCI
Licence
MIT · permissive
Language
Python
Current release
v3.9.0, published 20 Apr 2026
Development activity
Last commit 1 Oct 2026 · repository created 13 Dec 2022
Maintainers
ezmsg developers
GitHub stars
30 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

Designed for or usable in real-time loops

Common use cases

  • Real-time pipelines
  • Multi-process signal graphs

How it fits into a BCI stack

  1. Hardware

    2 tools

  2. Acquisition

    3 tools

  3. Streaming

    ezmsg

  4. Processing

    6 tools

  5. Decoding

    4 tools

  6. Applications

    2 tools

  7. Data & standards

    3 tools

Sources

  1. 01

    github.com/ezmsg-org/ezmsg (opens in a new tab)

    Open-source repositoryGitHubChecked against source 3 Oct 2026

    Repository metadata read from the GitHub API.