Showing 4 open source projects for "cloud storage"

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  • 1
    Superstreamer

    Superstreamer

    An open, scalable, online streaming setup

    Superstreamer is a self-hosted video processing and delivery platform designed to simplify the entire workflow from media ingestion to adaptive playback. It provides developers with tools to transcode video files into multiple quality levels and package them into streaming-ready formats such as HLS playlists. The system enables dynamic playlist generation, allowing insertion of elements like ads or bumpers directly into video streams. It supports scalable deployment through containerized...
    Downloads: 1 This Week
    Last Update:
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  • 2
    Cap

    Cap

    Open source Loom alternative. Beautiful, shareable screen recordings

    ...Cap's intuitive interface allows users to start recording with just a few clicks, eliminating complex setup procedures. Additionally, it provides unlimited recording time and cloud storage, facilitating seamless collaboration and sharing among team members. Cap emphasizes user ownership and privacy by allowing recordings to be stored in custom S3 buckets, ensuring data security.
    Downloads: 9 This Week
    Last Update:
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  • 3
    Angular Spotify

    Angular Spotify

    Spotify client built with Angular 12, Nx Workspace, ngrx

    A simple Spotify client built with Angular 12, Nx workspace, ngrx, TailwindCSS and ng-zorro. Spotify premium is required for the Web Playback SDK to play music. If you are using a free account, you can still browse the app, but it couldn't play the music. I still remember Window Media Player on windows has the visualization when you start to play the music, and I wanted to have the same experience when listening to Spotify. That is the reason I started this project. I found that there...
    Downloads: 0 This Week
    Last Update:
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  • 4
    aws-lambda-ffmpeg

    aws-lambda-ffmpeg

    An S3-triggered Amazon Web Services Lambda function

    ...It packages FFmpeg binaries and provides examples of how to execute video and audio processing tasks in a serverless context. The system allows users to perform operations such as transcoding, resizing, and format conversion without managing dedicated servers. It leverages cloud storage services like S3 for input and output handling, enabling scalable processing pipelines. The project demonstrates how to overcome Lambda limitations such as execution time and storage constraints. It is designed for integration into event-driven architectures where media processing is triggered automatically. Overall, it provides a practical solution for serverless multimedia processing.
    Downloads: 0 This Week
    Last Update:
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