1.google-ai-edge / mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
Ranked by Attention Score: stars gained over the last 180 complete days
38 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)
Cross-platform, customizable ML solutions for live and streaming media.
A high-performance observability data pipeline.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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!
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.
A curated list of awesome big data frameworks, ressources and other awesomeness.
Kubernetes-native platform to run massively parallel data/streaming jobs
🌊 Online machine learning in Python
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.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
Upserts, Deletes And Incremental Processing on Big Data.
Distributed stream processing engine in Rust
Fancy stream processing made operationally mundane
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
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🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
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.
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.
Python Stream Processing
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.
Efficient, easy-to-use, and fast PHP JSON stream parser
Low-code tool for automating actions on real time data | Stream processing for the users.
A lightweight stream processing library for Go
Python Stream Processing
The database purpose-built for stream processing applications.
High-performance time-series aggregation for PostgreSQL
Stream Processing and Complex Event Processing Engine
Framework for building Event-Driven Microservices
A compatibility layer for event-driven abstractions
Build platforms that flexibly mix SQL, batch, and stream processing paradigms
An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration
Daggy - Data Aggregation Utility and C/C++ developer library for data streams catching
Machine is a workflow/pipeline library for processing data
Distributed Stream and Batch Processing