🔥 Trending Repository: awesome-video
📝 Description: A curated list of awesome streaming video tools, frameworks, libraries, and learning resources.
🔗 Repository URL: https://github.com/krzemienski/awesome-video
🌐 Website: https://awesome.video
📖 Readme: https://github.com/krzemienski/awesome-video#readme
📊 Statistics:
🌟 Stars: 1.7K stars
👀 Watchers: 55
🍴 Forks: 180 forks
💻 Programming Languages: HTML
🏷️ Related Topics:
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🧠 By: https://t.me/DataScienceN
📝 Description: A curated list of awesome streaming video tools, frameworks, libraries, and learning resources.
🔗 Repository URL: https://github.com/krzemienski/awesome-video
🌐 Website: https://awesome.video
📖 Readme: https://github.com/krzemienski/awesome-video#readme
📊 Statistics:
🌟 Stars: 1.7K stars
👀 Watchers: 55
🍴 Forks: 180 forks
💻 Programming Languages: HTML
🏷️ Related Topics:
#audio #encoding #player #streaming #awesome #video #ffmpeg #mp4 #hls #captions #mpeg_dash #dash #awesome_list #drm #roku #hevc #video_streaming #ott #vmaf #digital_video
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🧠 By: https://t.me/DataScienceN
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🔥 Trending Repository: nuclear
📝 Description: Streaming music player that finds free music for you
🔗 Repository URL: https://github.com/nukeop/nuclear
🌐 Website: https://nuclearplayer.com
📖 Readme: https://github.com/nukeop/nuclear#readme
📊 Statistics:
🌟 Stars: 14.2K stars
👀 Watchers: 153
🍴 Forks: 1.1K forks
💻 Programming Languages: TypeScript - SCSS - JavaScript - Rust - HTML
🏷️ Related Topics:
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🧠 By: https://t.me/DataScienceM
📝 Description: Streaming music player that finds free music for you
🔗 Repository URL: https://github.com/nukeop/nuclear
🌐 Website: https://nuclearplayer.com
📖 Readme: https://github.com/nukeop/nuclear#readme
📊 Statistics:
🌟 Stars: 14.2K stars
👀 Watchers: 153
🍴 Forks: 1.1K forks
💻 Programming Languages: TypeScript - SCSS - JavaScript - Rust - HTML
🏷️ Related Topics:
#electron #music #windows #linux #mac #youtube #streaming #music_player #stream
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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: pathway
📝 Description: Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
🔗 Repository URL: https://github.com/pathwaycom/pathway
🌐 Website: https://pathway.com
📖 Readme: https://github.com/pathwaycom/pathway#readme
📊 Statistics:
🌟 Stars: 37.6K stars
👀 Watchers: 80
🍴 Forks: 1.1K forks
💻 Programming Languages: Python - Rust
🏷️ Related Topics:
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🧠 By: https://t.me/DataScienceM
📝 Description: Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
🔗 Repository URL: https://github.com/pathwaycom/pathway
🌐 Website: https://pathway.com
📖 Readme: https://github.com/pathwaycom/pathway#readme
📊 Statistics:
🌟 Stars: 37.6K stars
👀 Watchers: 80
🍴 Forks: 1.1K forks
💻 Programming Languages: Python - Rust
🏷️ Related Topics:
#python #rust #streaming #real_time #kafka #etl #machine_learning_algorithms #stream_processing #data_analytics #dataflow #data_processing #data_pipelines #batch_processing #pathway #iot_analytics #etl_framework #time_series_analysis
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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: go2rtc
📝 Description: Ultimate camera streaming application with support RTSP, RTMP, HTTP-FLV, WebRTC, MSE, HLS, MP4, MJPEG, HomeKit, FFmpeg, etc.
🔗 Repository URL: https://github.com/AlexxIT/go2rtc
📖 Readme: https://github.com/AlexxIT/go2rtc#readme
📊 Statistics:
🌟 Stars: 11.3K stars
👀 Watchers: 92
🍴 Forks: 861 forks
💻 Programming Languages: Go - HTML - JavaScript - C - Dockerfile - Batchfile - Shell
🏷️ Related Topics:
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🧠 By: https://t.me/DataScienceM
📝 Description: Ultimate camera streaming application with support RTSP, RTMP, HTTP-FLV, WebRTC, MSE, HLS, MP4, MJPEG, HomeKit, FFmpeg, etc.
🔗 Repository URL: https://github.com/AlexxIT/go2rtc
📖 Readme: https://github.com/AlexxIT/go2rtc#readme
📊 Statistics:
🌟 Stars: 11.3K stars
👀 Watchers: 92
🍴 Forks: 861 forks
💻 Programming Languages: Go - HTML - JavaScript - C - Dockerfile - Batchfile - Shell
🏷️ Related Topics:
#streaming #h264 #rtsp #ffmpeg #mp4 #hls #rtmp #webrtc #mjpeg #rtsp_server #media_server #http_flv #home_assistant #homekit #rtp #h265 #webcam_streaming #hassio
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🧠 By: https://t.me/DataScienceM
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