Real Time Processing
Showing 36 of 36 projects
A distributed cloud-native messaging and streaming platform for building event-driven applications with high performance and reliability.
A server-side data processing pipeline that ingests, transforms, and ships logs and events from multiple sources.
A Kafka-compatible streaming data platform that is 10x faster, simpler to operate, and free from ZooKeeper and JVMs.
A Kafka-compatible streaming data platform that's 10x faster, with no ZooKeeper or JVM.
A Kafka-compatible streaming data platform that's 10x faster, with no ZooKeeper or JVM dependencies.
A lightweight JavaScript library for real-time computer vision in the browser, including color tracking and face detection.
A high-performance, declarative stream processor that connects various sources and sinks with built-in data transformation capabilities.
Java interface to OpenCV, FFmpeg, and other computer vision libraries with utility classes for easier Java/Android integration.
A PostgreSQL extension that adds graph database capabilities, enabling hybrid relational and graph querying with openCypher.
A simple, fast, robust job/task queue for Node.js, backed by Redis, designed for short real-time jobs.
A deprecated tool for collecting, processing, and delivering data from multiple sources with Go and Lua plugin support.
An open-source framework that enables Python programming for Xilinx Zynq APSoCs to design high-performance embedded systems.
A lightweight and efficient stream processing library for Go, providing a declarative DSL to build data pipelines.
A graphical toolkit for exploring, analyzing, and modifying real-time data streams through a visual interface.
Fast and robust algorithm for segmenting Velodyne LiDAR point clouds into objects for autonomous driving applications.
A high-performance one-pass in-memory streaming analytics engine for temporal and streaming data.
SQL-based streaming analytics platform that scales to process hundreds of billions of real-time events daily.
A scalable, mature, and versatile web crawler built on Apache Storm for building low-latency, distributed crawling systems.
An open-source, cloud-native streaming database designed for real-time data processing and IoT applications.
A simple high-performance Redis message queue for Node.js with multiple queue types, scheduling, and a web UI.
An Android library providing 19 efficient image filters with NDK optimization for real-time processing.
An open-source security analytics platform that integrates big data technologies for centralized security monitoring, threat detection, and investigation.
A modern, high-performance technical analysis library built in Rust with Python and WebAssembly bindings.
A Python library for constructing reactive dataflow graphs and streaming computations as data models.
A Java library for building efficient and reliable producer applications for Amazon Kinesis Data Streams.
A ROS driver for TI mmWave radar sensors with sensor fusion, multi-radar support, and camera overlay capabilities.
An open-source IoT platform for data management and processing, built in Elixir with Cassandra/ScyllaDB and RabbitMQ.
A Neo4j kernel extension platform for building custom transaction-driven modules that extend database functionality.
An open source programming model and runtime for analyzing data and events on edge devices, reducing data transmission and storage costs.
A distributed video processing platform built on Apache Storm with OpenCV integration for large-scale computer vision pipelines.
A visual development platform for building, deploying, and managing streaming analytics applications with multiple engine bindings.
An open-source Python toolbox for real-time EEG monitoring, analysis, and sensory stimulation during sleep for dream engineering research.
A Go library for writing Storm spouts and bolts that communicate with Storm shells via the multilang protocol.
Completed code for the Amazon Kinesis tutorial on processing real-time stock data using KPL and KCL.
A Docker container providing a complete streaming environment for experimenting with Kafka, Spark Streaming, and Cassandra.
High-speed digital filters for MicroPython on ARM boards, implemented in inline assembler for real-time integer data processing.
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