aiortc

WebRTC and ORTC implementation for Python using asyncio

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aiortc
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What is aiortc?

aiortc is a library for Web Real-Time Communication (WebRTC)_ and
Object Real-Time Communication (ORTC)_ in Python. It is built on top of
asyncio, Python's standard asynchronous I/O framework.

The API closely follows its Javascript counterpart while using pythonic
constructs:

  • promises are replaced by coroutines
  • events are emitted using pyee.EventEmitter

To learn more about aiortc please read the documentation_.

.. _Web Real-Time Communication (WebRTC): https://webrtc.org/
.. _Object Real-Time Communication (ORTC): https://ortc.org/
.. _read the documentation: https://aiortc.readthedocs.io/en/latest/

Why should I use aiortc?

The main WebRTC and ORTC implementations are either built into web browsers,
or come in the form of native code. While they are extensively battle tested,
their internals are complex and they do not provide Python bindings.
Furthermore they are tightly coupled to a media stack, making it hard to plug
in audio or video processing algorithms.

In contrast, the aiortc implementation is fairly simple and readable. As
such it is a good starting point for programmers wishing to understand how
WebRTC works or tinker with its internals. It is also easy to create innovative
products by leveraging the extensive modules available in the Python ecosystem.
For instance you can build a full server handling both signaling and data
channels or apply computer vision algorithms to video frames using OpenCV.

Furthermore, a lot of effort has gone into writing an extensive test suite for
the aiortc code to ensure best-in-class code quality.

Implementation status

aiortc allows you to exchange audio, video and data channels and
interoperability is regularly tested against both Chrome and Firefox. Here are
some of its features:

  • SDP generation / parsing
  • Interactive Connectivity Establishment, including half-trickle
  • DTLS key and certificate generation
  • DTLS handshake, encryption / decryption (for SCTP)
  • SRTP keying, encryption and decryption for RTP and RTCP
  • Pure Python SCTP implementation
  • Data Channels
  • Sending and receiving audio (Opus / PCMU / PCMA)
  • Sending and receiving video (VP8 / H.264)
  • Bundling audio / video / data channels
  • RTCP reports, including NACK / PLI to recover from packet loss

Installing

Since release 0.9.28 binary wheels are available on PyPI for Linux, Mac and
Windows. The easiest way to install aiortc is to run:

.. code:: bash

pip install aiortc

Building from source

If there are no wheels for your system or if you wish to build aiortc from
source you will need a couple of libraries installed on your system:

  • OpenSSL 1.0.2 or greater
  • FFmpeg 4.0 or greater
  • LibVPX for video encoding / decoding
  • Opus for audio encoding / decoding

Linux
.....

On Debian/Ubuntu run:

.. code:: bash

apt install libavdevice-dev libavfilter-dev libopus-dev libvpx-dev pkg-config

pylibsrtp comes with binary wheels for most platforms, but if it needs to be
built from you will also need to run:

.. code:: bash

apt install libsrtp2-dev

OS X
....

On OS X run:

.. code:: bash

brew install ffmpeg opus libvpx pkg-config

License

aiortc is released under the BSD license_.

.. _BSD license: https://aiortc.readthedocs.io/en/latest/license.html

Main metrics

Overview
Name With Owneraiortc/aiortc
Primary LanguagePython
Program languagePython (Language Count: 1)
Platform
License:BSD 3-Clause "New" or "Revised" License
所有者活动
Created At2018-02-23 22:05:16
Pushed At2025-05-27 07:33:20
Last Commit At
Release Count63
Last Release Name1.13.0 (Posted on 2025-05-27 05:20:38)
First Release Name0.4.0 (Posted on 2018-03-19 09:45:33)
用户参与
Stargazers Count4.7k
Watchers Count97
Fork Count816
Commits Count1.3k
Has Issues Enabled
Issues Count819
Issue Open Count11
Pull Requests Count210
Pull Requests Open Count12
Pull Requests Close Count89
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