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@neurodevs/node-xdf

v0.3.5

Published

Extensible Data Format (XDF) for persisting multi-modal, time-series data with metadata

Downloads

60

Readme

node-xdf

Extensible Data Format (XDF) for persisting multi-modal, time-series data with metadata

Table of Contents

Overview

This package is a Node wrapper around the C++ libxdf library. It uses a fork of the library to serialize the XDF data to a JSON string that Node can use. It was developed and tested on a macOS system with an M-series chip.

Installation (macOS)

First, you need to install the forked libxdf library.

git clone https://github.com/neurodevs/libxdf.git
cd libxdf && cmake -S . -B build && cmake --build build
sudo mkdir -p /opt/local/lib/
sudo cp build/libxdf.dylib /opt/local/lib/

Then, install the package with your preferred package manager:

npm install @neurodevs/node-xdf

or

yarn add @neurodevs/node-xdf

Usage

XdfReader

import { XdfReaderImpl } from '@neurodevs/node-xdf'

async function loadXdf() {
    const reader = await XdfReaderImpl.Create()

    const data = await reader.load('/path/to/xdf')
    console.log('XDF Data:', data)
}

Test Doubles

This package was developed using test-driven development (TDD). If you also follow TDD, you'll likely want test doubles to fake, mock, or spy certain behaviors for these classes.

import { XdfReaderImpl, FakeXdfReader } from '@neurodevs/node-lsl'

async function someTestFunction() {
    XdfReaderImpl.Class = FakeXdfReader
    const fake = await XdfReaderImpl.Create()
}