An implementation of WebRTC and ORTC
Project description
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.
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
Requirements
In addition to aiortc’s Python dependencies you need a couple of libraries installed on your system for media codecs. FFmpeg 3.2 or greater is required.
On Debian/Ubuntu run:
apt install libavdevice-dev libavfilter-dev libopus-dev libvpx-dev pkg-configOn OS X run:
brew install ffmpeg opus libvpx pkg-configLicense
aiortc is released under the BSD license.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file aiortc-0.9.14.tar.gz.
File metadata
- Download URL: aiortc-0.9.14.tar.gz
- Upload date:
- Size: 1.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5c6174da97e4e9fab6d93638c2010322b34017fb34ecc9bf93625fb0814ecbe7 |
|
| MD5 | 720878de75ff2ee92f236a8a1389c1d9 |
|
| BLAKE2b-256 | cfb4071729d01f349db0b171526549fdda2f407f2e5d106e5eb512d6d94a3b96 |
