mage-ai/mage-ai
mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Builder
mage-ai
mage-ai • individual
Stars
8,742
Using upstream star count
Forks
967
Using upstream fork count
Open Issues
0
Activity Score
0/100
0 commits in 30d
Created
May 16, 2022
Project creation date
README Summary
Build modern data pipelines locally — fast, visual, and production-ready.
Community Evaluation
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Data Integration ArchitectureData Pipeline EngineeringData TransformationETL/ELT DevelopmentFeature EngineeringMachine Learning Pipeline OrchestrationReal-time Data StreamingWorkflow Orchestration
Tags
Data Integration ArchitectureData Pipeline EngineeringData TransformationETL/ELT DevelopmentFeature EngineeringMachine Learning Pipeline OrchestrationReal-time Data StreamingWorkflow OrchestrationDockerForkedPythonReal-Time / Streaming
Taxonomy
Deployment Context
Modalities
Skill Areas
Recent Activity
Updated 2 months ago
7 Days
0
30 Days
0
90 Days
3
[xy] Not create new pipeline run when updating trigger schedule_interval (#6044)
wangxiaoyou1993 • Mar 13, 2026
[xy] Upgrade pandas and sqlalchemy version. (#4979)
wangxiaoyou1993 • Mar 13, 2026
[xy] Don't fail the server if installing dependency fails. (#6042)
wangxiaoyou1993 • Mar 13, 2026
Quality
production- Quality
- high
- Maturity
- production
Categories
Inference & ServingPrimaryMLOps & Infrastructure
PM Skills
Scale & Reliability
Languages
Python100.0%
Timeline
- Project created
- May 16, 2022
- Forked
- Mar 22, 2026
- Your last push
- 2 months ago
- Upstream last push
- 19 days ago
- Tracked since
- Mar 13, 2026
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