Statistics for topic stream-processing
RepositoryStats tracks 584,797 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 (25), Python (24), C++ (14), Rust (13)
Stargazers over time for topic stream-processing
Most starred repositories for topic stream-processing (view more)
Trending repositories for topic stream-processing (view more)
Cross-platform, customizable ML solutions for live and streaming media.
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
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.
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.
Kubernetes-native platform to run massively parallel data/streaming jobs
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.
Kubernetes-native platform to run massively parallel data/streaming jobs
📡 MiroTalk WebRTC Live Broadcast allows to broadcast live video, audio and screen stream to all connected users (viewers).
Project for real-time anomaly detection using Kafka and python
🌟 Examples of use cases that utilize Decodable, as well as demos for related open-source projects such as Apache Flink, Debezium, and Postgres.
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.
Cross-platform, customizable ML solutions for live and streaming media.
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.
Kubernetes-native platform to run massively parallel data/streaming jobs
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.
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.
