Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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Streamlink is a CLI utility which pipes video streams from various services into a video player
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
🌊 Online machine learning in Python
Privacy enhanced BitTorrent client with P2P content discovery
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
Utils for streaming large files (S3, HDFS, gzip, bz2...)
Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing information and emotions respectively, while a fully streaming architecture eliminates latency at the fundamental level.
Python Stream Processing
Python Streaming DataFrames for Kafka
Real-time stream processing for python
A Unix, Windows, Raspberry Pi Object Speed Camera using python3, opencv, video streaming, motion tracking. Includes a Standalone Web Server , Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync scripts.
Self-hosted torrent video streaming service compatible with Chromecast, AppleTV & Kodi deployable in the cloud
Tor2web is an HTTP proxy software that enables access to Tor Hidden Services by mean of common web browsers
Basic Real-time AV Editor - allowing you to preview, mix, and route live audio and video streams on the cloud
Streaming WARC/ARC library for fast web archive IO
赛博小雅直播版 · 组件版数字人（Vidu s2）· 免费开源 AGPL-3.0 · 作者：天工开帧（抖音/B站/YouTube 同名）
Streaming reactive and dataflow graphs in Python
Supysonic is a Python implementation of the Subsonic server API.
Research tooling for MW4 on-demand texture streaming: loopback proxy, hosts manager, resumable mirror, control GUI. Code and notes only - no game files.
Stream Processing Made Easy
Python Frontend to Algorithms of the Algorithm Engineering Group Heidelberg