Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- airflow
- apache
- apache-airflow
- python
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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Orchestrate everything, everywhere. The open-source control plane for workflows across data, infrastructure, business processes and AI agents. Declarative YAML, event-driven, any language, Git-versioned, scalable to millions of executions.
An orchestration platform for the development, production, and observation of data assets.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.
A distributed task scheduler for Dask
RedisSMQ: A high-performance Redis message queue for Node.js
Simple but powerful DAG scheduler and dashboard
Job Scheduler for IOS with Concurrent run, failure/retry, persistence, repeat, delay and more
A powerful background job processing library for Clojure
A simple jobs queue that just works (for Meteor.js)
Type-safe, persistent, embedded task queues and background job runner w/ SQLite. Web monitoring UI included.
Facilitates simple durable and asynchronous messaging in dotnet apps.
🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines