29 releases

0.8.0 Feb 5, 2024
0.7.1 Dec 18, 2023
0.6.0 Oct 27, 2023
0.5.4 Feb 1, 2023
0.1.0 Mar 31, 2021

#193 in Video

Download history 118/week @ 2023-12-20 38/week @ 2023-12-27 64/week @ 2024-01-03 38/week @ 2024-01-10 77/week @ 2024-01-17 107/week @ 2024-01-24 36/week @ 2024-01-31 119/week @ 2024-02-07 141/week @ 2024-02-14 345/week @ 2024-02-21 511/week @ 2024-02-28 300/week @ 2024-03-06 503/week @ 2024-03-13 137/week @ 2024-03-20 82/week @ 2024-03-27 162/week @ 2024-04-03

916 downloads per month
Used in 2 crates (via mediasoup)

ISC license

1.5MB
45K SLoC

C++ 43K SLoC // 0.1% comments FlatBuffers Schema 1.5K SLoC // 0.0% comments Python 603 SLoC // 0.2% comments Rust 223 SLoC // 0.1% comments Shell 176 SLoC // 0.0% comments JavaScript 56 SLoC // 0.1% comments

mediasoup v3

Website and Documentation

Support Forum

Design Goals

mediasoup and its client side libraries are designed to accomplish with the following goals:

  • Be a SFU (Selective Forwarding Unit).
  • Support both WebRTC and plain RTP input and output.
  • Be a Node.js module or Rust crate in server side.
  • Be a tiny TypeScript and C++ libraries in client side.
  • Be minimalist: just handle the media layer.
  • Be signaling agnostic: do not mandate any signaling protocol.
  • Be super low level API.
  • Support all existing WebRTC endpoints.
  • Enable integration with well known multimedia libraries/tools.

Architecture

Use Cases

mediasoup and its client side libraries provide a super low level API. They are intended to enable different use cases and scenarios, without any constraint or assumption. Some of these use cases are:

  • Group video chat applications.
  • One-to-many (or few-to-many) broadcasting applications in real-time.
  • RTP streaming.

Features

  • ECMAScript 6/Idiomatic Rust low level API.
  • Multi-stream: multiple audio/video streams over a single ICE + DTLS transport.
  • IPv6 ready.
  • ICE / DTLS / RTP / RTCP over UDP and TCP.
  • Simulcast and SVC support.
  • Congestion control.
  • Sender and receiver bandwidth estimation with spatial/temporal layers distribution algorithm.
  • Data message exchange (via WebRTC DataChannels, SCTP over plain UDP, and direct termination in Node.js/Rust).
  • Extremely powerful (media worker thread/subprocess coded in C++ on top of libuv).

Demo Online

Try it at v3demo.mediasoup.org (source code).

Authors

Social

Sponsor

You can support mediasoup by sponsoring it. Thanks!

License

ISC

Dependencies

~0.6–3MB
~52K SLoC