Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Srs | 23,580 | 2 months ago | 98 | June 05, 2023 | 199 | mit | C++ | |||
SRS is a simple, high-efficiency, real-time video server supporting RTMP, WebRTC, HLS, HTTP-FLV, SRT, MPEG-DASH, and GB28181. | ||||||||||
Hls.js | 13,809 | 381 | 716 | 2 months ago | 2,374 | December 09, 2023 | 168 | other | TypeScript | |
HLS.js is a JavaScript library that plays HLS in browsers with support for MSE. | ||||||||||
Streama | 9,553 | 2 months ago | 339 | mit | JavaScript | |||||
Self hosted streaming media server. https://docs.streama-project.com/ | ||||||||||
Restreamer | 3,203 | 4 months ago | 90 | apache-2.0 | HTML | |||||
The Restreamer is a complete streaming server solution for self-hosting. It has a visually appealing user interface and no ongoing license costs. Upload your live stream to YouTube, Twitch, Facebook, Vimeo, or other streaming solutions like Wowza. Receive video data from OBS and publish it with the RTMP and SRT server. | ||||||||||
Vidgear | 3,080 | 1 | 8 | 3 months ago | 22 | September 10, 2023 | 6 | apache-2.0 | Python | |
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire: | ||||||||||
Nymphcast | 2,337 | 2 months ago | 19 | bsd-3-clause | C | |||||
Audio and video casting system with support for custom applications. | ||||||||||
Nginx Vod Module | 1,906 | 2 months ago | 259 | agpl-3.0 | C | |||||
NGINX-based MP4 Repackager | ||||||||||
Awesome Video | 1,391 | 2 months ago | 7 | cc0-1.0 | HTML | |||||
A curated list of awesome streaming video tools, frameworks, libraries, and learning resources. | ||||||||||
Rx Player | 808 | 3 | 3 | 2 months ago | 213 | December 08, 2023 | 51 | apache-2.0 | TypeScript | |
DASH/Smooth HTML5 Video Player | ||||||||||
Puffer | 750 | 4 months ago | 1 | C++ | ||||||
Puffer is a free live TV streaming website and a research study at Stanford using machine learning to improve video streaming |