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@vandeurenglenn/wrtc

v0.7.2

Published

Standards-compliant WebRTC implementation for Node

Readme

npm version npm downloads Node.js license GitHub release Cross Platform Source Build WPT benchmarks

node-webrtc is a Node.js Native Addon that provides bindings to WebRTC M154, branch-heads/8037. This project aims for spec-compliance and is tested using the W3C's web-platform-tests project. A number of nonstandard APIs for testing are also included.

Modern source builds are continuously tested with Node.js 24 and 26 on Linux, macOS, and Windows. WebRTC uses its Chromium Clang toolchain on Linux, Chromium clang-cl on Windows, and its pinned toolchain on macOS. The addon and WebRTC share each platform's standard C++ library ABI.

Node.js 24.15 or newer is required. The package uses the platform-provided DOMException instead of the deprecated userland polyfill.

Windows source builds use Visual Studio 2022 and Windows SDK 10.0.28000 for CMake and the Node addon; WebRTC itself is compiled with its bundled clang-cl.


Install

npm install @vandeurenglenn/wrtc

The package manager selects a small optional native package for the current operating system and architecture. Installation does not execute a downloader or build script.

You can also build from source.

Supported Platforms

Release v0.7.1 provides N-API v3 binaries for Linux x64, macOS x64/arm64, and Windows x64. N-API keeps those binaries ABI-compatible across supported Node.js versions. Other platform and architecture combinations can use the source build.

The next release also provides Linux ARM64 binaries for native ARM servers, containers, and single-board computers.

Migration to v0.7

The callback-based legacy RTCPeerConnection#getStats(success, failure) API has been removed. Use the standards-based Promise API instead:

const stats = await peerConnection.getStats();

Examples

See node-webrtc/node-webrtc-examples.

Contributing

Contributions are welcome. See CONTRIBUTING.md for the local build, test, and pull-request workflow.

Benchmarking

A repeatable benchmark harness is available to detect performance regressions while improving the library.

See docs/benchmarking.md for usage and workflow.