Raja Subramanian c70aa616a9 Expected vs actual Layer based connection quality. (#1509)
* Expected vs actual Layer based connection quality.

With VBR streams (like screen share), bit rate is not a good indicator
of whether desired layer (spatial/temporal) is achieved due to high
variance.

Using expected vs actual layer (i. e. distance to desired) can capture
any short fall and include it in quality scoring.

This PR uses distance to desired, i. e. how many steps it would take to
go from actual spatial/temporal -> desired spatial/temporal and that
distance is propotionally used (currently it is just linear) to decrease
score.

* wire up layer transitions for screen share tracks
2023-03-10 13:08:36 +05:30
2023-01-11 14:49:50 -07:00
2023-02-26 12:05:20 -08:00
2021-08-30 11:35:03 -07:00
2023-02-26 12:05:20 -08:00
2021-06-03 23:22:19 -07:00
2023-02-15 16:47:38 -08:00
2023-02-08 16:38:45 -08:00

LiveKit: High-performance WebRTC

LiveKit is an open source project that provides scalable, multi-user conferencing based on WebRTC. It's designed to provide everything you need to build real-time video/audio/data capabilities in your applications.

LiveKit's server is written in Go, using the awesome Pion WebRTC implementation.

GitHub stars Slack community Twitter Follow GitHub release (latest SemVer) GitHub Workflow Status License

Features

Documentation & Guides

https://docs.livekit.io

Try it live

Head to our playground and give it a spin. Build a Zoom-like conferencing app in under 100 lines of code!

SDKs & Tools

Client SDKs

Client SDKs enable your frontend to include interactive, multi-user experiences.

Language Repo Declarative UI Links
JavaScript (TypeScript) client-sdk-js React docs | JS example | React example
Swift (iOS / MacOS) client-sdk-swift Swift UI docs | example
Kotlin (Android) client-sdk-android Compose docs | example | Compose example
Flutter client-sdk-flutter native docs | example
Unity WebGL client-sdk-unity-web docs
React Native (beta) client-sdk-react-native native

Server SDKs

Server SDKs enable your backend to generate access tokens, call server APIs, and receive webhooks. In addition, the Go SDK includes client capabilities, enabling you to build automations that behave like end-users.

Language Repo Docs
Go server-sdk-go docs
JavaScript (TypeScript) server-sdk-js docs
Ruby server-sdk-ruby
Java (Kotlin) server-sdk-kotlin
Python (community) tradablebits/livekit-server-sdk-python
PHP (community) agence104/livekit-server-sdk-php

Ecosystem & Tools

Install

We recommend installing livekit-cli along with the server. It lets you access server APIs, create tokens, and generate test traffic.

MacOS

brew install livekit

Linux

curl -sSL https://get.livekit.io | bash

Windows

Download the latest release here

Getting Started

Starting LiveKit

Start LiveKit in development mode by running livekit-server --dev. It'll use a placeholder API key/secret pair.

API Key: devkey
API Secret: secret

To customize your setup for production, refer to our deployment docs

Creating access token

A user connecting to a LiveKit room requires an access token. Access tokens (JWT) encode the user's identity and the room permissions they've been granted. You can generate a token with our CLI:

livekit-cli create-token \
    --api-key devkey --api-secret secret \
    --join --room my-first-room --identity user1 \
    --valid-for 24h

Test with example app

Head over to our example app and enter a generated token to connect to your LiveKit server. This app is built with our React SDK.

Once connected, your video and audio are now being published to your new LiveKit instance!

Simulating a test publisher

livekit-cli join-room \
    --url ws://localhost:7880 \
    --api-key devkey --api-secret secret \
    --room my-first-room --identity bot-user1 \
    --publish-demo

This command publishes a looped demo video to a room. Due to how the video clip was encoded (keyframes every 3s), there's a slight delay before the browser has sufficient data to begin rendering frames. This is an artifact of the simulation.

Deployment

Use LiveKit Cloud

LiveKit Cloud is the fastest and most reliable way to run LiveKit. Every project gets free monthly bandwidth and transcoding credits.

Sign up for LiveKit Cloud.

Self-host

Read our deployment docs for more information.

Building from source

Pre-requisites:

  • Go 1.18+ is installed
  • GOPATH/bin is in your PATH

Then run

git clone https://github.com/livekit/livekit
cd livekit
./bootstrap.sh
mage

Contributing

We welcome your contributions toward improving LiveKit! Please join us on Slack to discuss your ideas and/or PRs.

License

LiveKit server is licensed under Apache License v2.0.

S
Description
Languages
Go 99.8%
Shell 0.1%