Package: aiortc-dc
this repo is special version of aiortc which can be install data channel feature only and it works on windows palatrom.PRs is already requested. So this is tempolary repository.Install procedure::pip install aiortc-dcFile transfer example of P2P direct communication over NAT (which can run on Windows platform!)Please See:README_WS_SIGNALING_VERSION_.. _README_WS_SIGNALING_VERSION:https://github.com/ryogrid/aiortc-dc/blob/pr-websocket-version-filexfer/examples/datachannel-filexfer/README_WS_SIGNALING_VERSION.rstaiortc|rtd| |pypi-v| |pypi-pyversions| |pypi-l| |travis| |codecov| |gitter|.. |rtd| image::https://readthedocs.org/projects/aiortc/badge/?version=latest:target:https://aiortc.readthedocs.io/.. |pypi-v| image::https://img.shields.io/pypi/v/aiortc.svg:target:https://pypi.python.org/pypi/aiortc.. |pypi-pyversions| image::https://img.shields.io/pypi/pyversions/aiortc.svg:target:https://pypi.python.org/pypi/aiortc.. |pypi-l| image::https://img.shields.io/pypi/l/aiortc.svg:target:https://pypi.python.org/pypi/aiortc.. |travis| image::https://img.shields.io/travis/com/aiortc/aiortc.svg:target:https://travis-ci.com/aiortc/aiortc.. |codecov| image::https://img.shields.io/codecov/c/github/aiortc/aiortc.svg:target:https://codecov.io/gh/aiortc/aiortc.. |gitter| image::https://img.shields.io/gitter/room/aiortc/Lobby.svg:target:https://gitter.im/aiortc/LobbyWhat isaiortc?aiortcis a library forWeb Real-Time Communication (WebRTC)_ andObject Real-Time Communication (ORTC)_ in Python. It is built on top ofasyncio, Python's standard asynchronous I/O framework.The API closely follows its Javascript counterpart while using pythonic
constructs:promises are replaced by coroutinesevents are emitted usingpyee.EventEmitterTo learn more aboutaiortcpleaseread 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 useaiortc?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, theaiortcimplementation 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
theaiortccode to ensure best-in-class code quality.Implementation statusaiortcallows 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 / parsingInteractive Connectivity Establishment, including half-trickleDTLS key and certificate generationDTLS handshake, encryption / decryption (for SCTP)SRTP keying, encryption and decryption for RTP and RTCPPure Python SCTP implementationData ChannelsSending and receiving audio (Opus / PCMU / PCMA)Sending and receiving video (VP8 / H.264)Bundling audio / video / data channelsRTCP reports, including NACK / PLI to recover from packet lossRequirementsIn 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:.. code:: bashapt install libavdevice-dev libavfilter-dev libopus-dev libvpx-dev pkg-configOn OS X run:.. code:: bashbrew install ffmpeg opus libvpx pkg-configLicenseaiortcis released under theBSD license_... _BSD license:https://aiortc.readthedocs.io/en/latest/license.html