Pravega - Streaming as a new software defined storage primitive
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Updated
Mar 2, 2025 - Java
Pravega - Streaming as a new software defined storage primitive
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Locally runnable server with built-in data caching, providing both tick-level historical and consolidated real-time cryptocurrency market data via HTTP and WebSocket APIs
OBS plugin to fetch data from a URL or file, connect to an API or AI service, parse responses and display text, image or audio on scene
A diverse, simple, and secure all-in-one LLMOps platform
Materialize is a streaming database for real-time analytics. This is a collection of Materialize demos and tutorials.
Open Source API for Realtime Web Apps
Express.js - MQTT - Socket.io application for real-time streams
📡 Real-time data pipeline with Kafka, Flink, Iceberg, Trino, MinIO, and Superset. Ideal for learning data systems.
The Apache Storm implementation of the Bullet backend
real-time editable data-table with Vue and Hamoni Sync
An Orderflow service that builds Footprint Candles by aggregating raw trades from Websockets.
Python wrapper for the Tradier brokerage API
Rockset community content
This real-time project integrates flight information from the AviationStack API for DFW Airport and weather data from the National Weather Service API, to provide the latest arrival, departure, and forecast details.
Manipulate satoshi-related prices in Python 3, simple and sweet 💵 ₿🍬
TradeGPT is an intelligent trading bot built with ChatGPT and AI to automate and optimize trading strategies. It analyzes market data, predicts trends, and executes trades in real-time, providing traders with tools to enhance efficiency and profitability.
List of all ML projects
An advanced tool designed for creating automated news bulletins. It generates dynamic news scripts using OpenAI, and provides voice narration using either OpenAI or ElevenLabs text-to-speech services. The system supports seamless integration with AzuraCast and S3 for content storage and distribution, making it a versatile solution for broadcasters.
Unmanned Aerial Systems: Real-Time Computer Vision. Compatible with RTMP Servers. FFMPEG Support. Development in progress.
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