All Tools
M
DataFreemiumOpen Source
MAGE AI
Data and AI workflows that run on autopilot
Apache-2.0
ABOUT
Teams managing data pipelines rely on a patchwork of cron jobs, one-off scripts, and fragile handoffs that break silently and have no visibility. Mage replaces this with a unified execution layer featuring AI-generated workflows, automatic retries, monitoring dashboards, and audit logging — so data teams can move from intent to production faster without operational overhead.
INSTALL
pip install mage-aiINTEGRATION GUIDE
1. Building automated ETL pipelines that sync data from multiple sources into a data warehouse
2. Creating AI-generated workflows by describing the desired outcome in natural language
3. Orchestrating multi-step data transformations with monitoring, retries, and alerting
4. Migrating legacy SQL models and stored procedures into version-controlled, reusable pipelines
5. Preparing clean, governed datasets for AI training and RAG pipelines
TAGS
data-pipelineetlorchestrationworkflow-automationopen-source