Showing 4 open source projects for "latency"

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  • 1
    go2rtc

    go2rtc

    Ultimate camera streaming application

    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. ...
    Downloads: 6 This Week
    Last Update:
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  • 2
    imagor

    imagor

    Fast, secure image processing server and Go library, using libvips

    ...It supports a wide variety of image formats and integrates seamlessly with cloud storage backends like AWS S3 and Google Cloud Storage. With support for HTTP and gRPC APIs, Imagor can be used in production environments to serve optimized images dynamically with high performance and low latency.
    Downloads: 2 This Week
    Last Update:
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  • 3
    MediaDevices

    MediaDevices

    Go implementation of the MediaDevices API

    mediadevices is a Go library developed by the Pion WebRTC team that enables real-time access to audio and video devices for building native Go applications involving media streaming and conferencing. It provides a cross-platform, unified API for capturing and manipulating media streams and is often used in combination with Pion WebRTC for peer-to-peer communications. Its support for device enumeration, media constraints, and frame processing makes it a powerful building block for custom...
    Downloads: 1 This Week
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  • 4
    Milvus

    Milvus

    Vector database for scalable similarity search and AI applications

    ...Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. Average latency measured in milliseconds on trillion vector datasets. Rich APIs designed for data science workflows. Consistent user experience across laptop, local cluster, and cloud. Embed real-time search and analytics into virtually any application. Milvus’ built-in replication and failover/failback features ensure data and applications can maintain business continuity in the event of a disruption. ...
    Downloads: 3 This Week
    Last Update:
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