Statistics for topic stream-processing
RepositoryStats tracks 633,559 Github repositories, of these 155 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 (25), C++ (14), Rust (14)
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.
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.
Real-time Data Integration and Transformation: use SQL to transform, deliver, and act on fast-changing data.
Lean and mean distributed stream processing system written in rust and web assembly. Alternative to Kafka + Flink in one.
Real-time data processing in Python. Tailored for modern AI/ML systems.
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.
Lean and mean distributed stream processing system written in rust and web assembly. Alternative to Kafka + Flink in one.
Real-time Data Integration and Transformation: use SQL to transform, deliver, and act on fast-changing data.
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.
Real-time data processing in Python. Tailored for modern AI/ML systems.
📡 MiroTalk WebRTC Live Broadcast allows to broadcast live video, audio and screen stream to all connected users (viewers).
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.
csp is a high performance reactive stream processing library, written in C++ 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.
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.
Learn the basics of Apache Kafka® from leaders in the Kafka community with these video courses covering the Kafka ecosystem and hands-on exercises.
Real-time data processing in Python. Tailored for modern AI/ML systems.
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.
Real-time data processing in Python. Tailored for modern AI/ML systems.
csp is a high performance reactive stream processing library, written in C++ and Python