Statistics for topic stream-processing
RepositoryStats tracks 595,858 Github repositories, of these 153 are tagged with the stream-processing topic. The most common primary language for repositories using this topic is Go (26). Other languages include: Java (26), Python (24), C++ (14), Rust (13)
Stargazers over time for topic stream-processing
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Cross-platform, customizable ML solutions for live and streaming media.
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Best-in-class stream processing, analytics, and management. Perform continuous analytics, or build event-driven applications, real-time ETL pipelines, and feature stores in minutes. Unified streaming ...
A curated list of awesome Online Analytical Processing databases, frameworks, ressources and other awesomeness.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Self-contained distributed software platform for building stateful, massively real-time streaming applications in Rust.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Cross-platform, customizable ML solutions for live and streaming media.
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A curated list of awesome Online Analytical Processing databases, frameworks, ressources and other awesomeness.
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Kubernetes-native platform to run massively parallel data/streaming jobs
Cross-platform, customizable ML solutions for live and streaming media.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Kubernetes-native platform to run massively parallel data/streaming jobs
Learn the basics of Apache Kafka® from leaders in the Kafka community with these video courses covering the Kafka ecosystem and hands-on exercises.
csp is a high performance reactive stream processing library, written in C++ and Python
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Cross-platform, customizable ML solutions for live and streaming media.
A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Self-contained distributed software platform for building stateful, massively real-time streaming applications in Rust.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A stream processing engine and database, and a fast and lightweight alternative to ksqlDB and Apache Flink, 🚀 powered by ClickHouse
A curated list of awesome Online Analytical Processing databases, frameworks, ressources and other awesomeness.