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
Self-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, etc; keep workflows separate from business logic. One binary, no database, runs on limited H/W resources. Alternative to Airflow / Cron / Job Scheduler.
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.
Pluggable foundation blocks for building distributed apps.
A light-weight job scheduling system built on top of Resque
Polyglot workflows without leaving the comfort of your technology stack.
Workflow Automation Engine
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
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