Search Results for "real"

LiveKit is an open-source project that provides a scalable, multi-user conferencing system based on WebRTC, designed to offer real-time video, audio, and data capabilities for developers.

go2rtc is a lightweight, zero-dependency streaming server designed to unify and convert video streams across a wide range of protocols and devices, particularly in smart home and surveillance environments. Written in Go, it provides real-time streaming capabilities with extremely low latency by supporting protocols such as RTSP, WebRTC, RTMP, HTTP, and HomeKit, while also enabling seamless transcoding using FFmpeg when needed. The application can ingest streams from IP cameras, USB devices, or cloud-based sources and redistribute them to multiple clients or platforms, including browsers and smart home systems like Home Assistant. ...

Dozzle is a lightweight, self-hosted web application for real-time viewing and monitoring of container logs, focused on speed and simplicity rather than building a full log storage pipeline. Instead of indexing or storing logs, it connects to your container runtime and streams live output so you can diagnose issues as they happen. The interface includes practical quality-of-life features like fuzzy searching for containers, regex log search, split-screen viewing for multiple logs, and live stats such as CPU and memory usage. ...

...It allows applications without direct GPU access to offload video transcoding tasks to a remote server, improving performance without requiring complex passthrough setups. The system works by coordinating commands through a lightweight protocol while using a shared filesystem to exchange media data. It supports real-time streaming of outputs as they are processed, making it suitable for media servers and live workflows. The architecture includes authentication and command rewriting to adapt differences between client and server environments. It is designed to be flexible, supporting multiple clients connected to a single server instance. Overall, it provides an efficient way to extend hardware capabilities across networked systems.

...It focuses on performance and simplicity, leveraging Go’s concurrency model to handle streaming tasks efficiently. gohls can be integrated into backend services to enable adaptive streaming workflows. It supports real-time processing and can work alongside tools like FFmpeg for encoding. Overall, it provides a lightweight solution for implementing HLS streaming pipelines.