1.google-ai-edge / mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
Ranked by Attention Score: stars gained over the last 7 complete days
30 repositories by Attention Score · Oct 27, 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
A curated list of awesome big data frameworks, ressources and other awesomeness.
Python Stream Processing
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
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.
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
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.
Building event-driven applications the easy way in Go.
Upserts, Deletes And Incremental Processing on Big Data.
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
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.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
Kubernetes-native platform to run massively parallel data/streaming jobs
Python Streaming DataFrames for Kafka
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
High-performance time-series aggregation for PostgreSQL
Efficient, easy-to-use, and fast PHP JSON stream parser
Framework for building Event-Driven Microservices
Fancy stream processing made operationally mundane
A lightweight stream processing library for Go
Stream Processing and Complex Event Processing Engine
Distributed Stream Processing
A compatibility layer for event-driven abstractions
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