1.google-ai-edge / mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
Ranked by Attention Score: stars gained over the last 30 complete days
38 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
Cross-platform, customizable ML solutions for live and streaming media.
A high-performance observability data pipeline.
QuestDB is a high performance, open-source, time-series database
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Upserts, Deletes And Incremental Processing on Big Data.
A curated list of awesome big data frameworks, ressources and other awesomeness.
A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Building event-driven applications the easy way in Go.
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
🌊 Online machine learning in Python
Distributed stream processing engine in Rust
Fancy stream processing made operationally mundane
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
Python Stream Processing
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Python Streaming DataFrames for Kafka
Kubernetes-native platform to run massively parallel data/streaming jobs
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
A lightweight stream processing library for Go
Efficient, easy-to-use, and fast PHP JSON stream parser
Python Stream Processing
High-performance time-series aggregation for PostgreSQL
Distributed Stream Processing
Framework for building Event-Driven Microservices
A compatibility layer for event-driven abstractions
Stream Processing and Complex Event Processing Engine
Low-code tool for automating actions on real time data | Stream processing for the users.
A Go port of the Java Streams API. Type-safe and functional Go Streams processing
Distributed Stream and Batch Processing
Lightweight real-time big data streaming engine over Apache Pekko
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration
The database purpose-built for stream processing applications.