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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.

Free and open log management

The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL

FastStream is a powerful and easy-to-use asynchronous Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS, MQTT and Redis.

High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.

The open source and enterprise-ready webhooks service 🦀

High-performance log ingestion and ETL engine

Secor is a service implementing Kafka log persistence

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

Trench — Open-Source Analytics Infrastructure. A single production-ready Docker image built on ClickHouse, Kafka, and Node.js for tracking events. Easily build product analytics dashboards, LLM RAGs, observability platforms, or any other analytics product.

Fast and reliable message broker built on top of Kafka.

🦎 A multi-protocol edge & service proxy. Seamlessly interface web apps, IoT clients, & microservices to Apache Kafka® via declaratively defined, stateless APIs.

adidas group API design guidelines

A Django library for asynchronously triggering actions in response to database changes. It supports integration with webhooks, message brokers (e.g., Kafka, RabbitMQ), and can trigger other processes, including AWS Lambda functions.

A comprehensive Message Control Protocol (MCP) server for Kafka Schema Registry.

A native macOS Kafka monitor. Read-only by design.