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
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
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.
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
Simple but powerful DAG scheduler and dashboard
Declarative data quality engine. Define checks in YAML, run anywhere.
Open, audit-grade agentic data quality framework with portable industry packs