3 Repos
Publishes stream events from a task to the orchestration API for consumption by separate subscribers.
Distinct from Event Stream Implementation: Distinct from Event Stream Implementation: focuses on publishing events from a task for subscriber consumption, not the general mechanism of appending events to a stream.
Explore 3 awesome GitHub repositories matching data & databases · Task Stream Event Publishers. Refine with filters or upvote what's useful.
Hatchet is an open-source durable workflow engine and task orchestration platform. It provides a framework for building and executing fault-tolerant, multi-step pipelines as directed acyclic graphs (DAGs), with automatic retries, scheduling, and real-time observability. The system is built around durable task checkpointing, which persists execution state after each step so work can resume from the last checkpoint after a worker crash or restart, and it supports event-driven task resumption that pauses a task until a matching external event arrives. The platform distinguishes itself through it
Publishes stream events from a task to the orchestration API for consumption by separate subscribers.
ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented
Streams real-time progress and lifecycle updates from running tasks to external monitors without interrupting the primary execution flow.
FastStream is an asynchronous Python framework designed for building event-driven microservices. It provides a unified abstraction layer for interacting with various message brokers, enabling developers to manage event production and consumption through a consistent interface while maintaining access to native provider-specific features. The framework centers on a decorator-based routing model that binds application logic directly to broker topics, supported by a built-in dependency injection container that resolves resources at runtime. The framework distinguishes itself through its deep int
Enables publishing processed function results to broker streams for event-driven data pipelines.