Awesome GitHub RepositoriesData Processing and Streams

Watermill is a Go library for building event-driven applications. It provides a framework for implementing event-driven architectures through a consistent interface for message publishing and subscribing, featuring a pub/sub message router and event stream processing pipelines. The library uses interface-based abstractions to decouple message producers and consumers from the underlying message broker. This allows different messaging technologies to be swapped via plugin-based broker integration. It employs a router-driven dispatch system and middleware-based pipelines to manage cross-cutting

Cadence is a distributed workflow orchestration engine designed to execute long-running, asynchronous business logic with built-in durability and resilience across distributed systems. It functions as a stateful process manager that ensures processes resume from their last known state following system crashes or network outages. The platform utilizes a distributed task queue to manage work across independent worker nodes and supports persistence via SQL or Cassandra backend storage. It includes a workflow visualization dashboard for inspecting execution histories and state traces, alongside a

Benthos is a declarative stream processor and data integration pipeline used to route, transform, and filter information between disparate services. It functions as an at-least-once message broker and change data capture engine, using a transaction model to guarantee message delivery despite system crashes or server faults. The system is defined by an observability-first approach, featuring built-in HTTP health probes, performance metrics export, and distributed request flow tracing. It utilizes a plugin architecture that allows the core engine to be extended with custom binaries for new inpu

A lightweight stream processing library for Go

A Golang based high performance, scalable and distributed workflow framework