Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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Nov 12, 2026 - Python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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Cross-platform, customizable ML solutions for live and streaming media.
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A high-performance observability data pipeline.
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QuestDB is a high performance, open-source, time-series database
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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》
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A curated list of awesome big data frameworks, ressources and other awesomeness.
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Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
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A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
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Building event-driven applications the easy way in Go.
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Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
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Fancy stream processing made operationally mundane
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Fast and Lightweight Logs, Metrics and Traces processor for Linux, BSD, OSX and Windows
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Python Stream Processing
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.
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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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Upserts, Deletes And Incremental Processing on Big Data.
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🌊 Online machine learning in Python
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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.
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🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
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Distributed stream processing engine in Rust
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