Nats Collection

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🌊Water

★★★

“Building event-driven applications the easy way in Go.”

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🌊Water

★★★

“Fancy stream processing made operationally mundane”

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🌊Water

★★★

“Golang client for NATS, the cloud native messaging system.”

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🔮Psychic

★★★

“FastStream is an asynchronous Python framework for building event-driven applications. It brings together message broker integration, dependency injection, validation, testing utilities, and AsyncAPI documentation generation in a single toolkit”

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💎Aqua

★★

“Multi tenant SaaS starter kit with cqrs graphql microservice architecture, apollo federation, event source and authentication”

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🌊Water

★★

“Kafka-style message streaming in Go. Built on NATS. Single binary, no JVM, no ZooKeeper.”

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🌊Water

★★

“KrakenD Community Edition: High-performance, stateless, declarative, API Gateway written in Go.”

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⚙️Steel

★★

“wasmCloud is an open source Cloud Native Computing Foundation (CNCF) project that enables teams to build, manage, and scale polyglot apps across any cloud, K8s, or edge.”

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⚙️Steel

★★

“🦭 Distributed log streaming engine built from first principles”

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🌊Water

★★

“Event Sourcing for Go!”

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🌊Water

★★

“go分布式服务器，基于内存mmo”

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⚙️Steel

★★

“Rust client for NATS, the cloud native messaging system.”

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💎Aqua

★★

“Complete working example of using Domain Driven Design (DDD), Hexagonal Architecture, CQRS, Event Sourcing (ES), Event Driven Architecture (EDA), Behaviour Driven Development (BDD) using TypeScript and NestJS. Like what you see? Don't forget to star! ⭐ ^^^”

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⚙️Steel

★★

“High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis. ”

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🔮Psychic

★★

“Python3 client for NATS”

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🌸Fairy

★★

“Ruby client for NATS, the cloud native messaging system.”

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⚡Electric

★★

“🔬 Writing reliable & fault-tolerant microservices in Node.js https://hemerajs.github.io/hemera/”

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🌊Water

★★

“Guidance for building event-driven distributed systems and microservices in Go with NATS JetStream, gRPC and CockroachDB ”