Mage AI
Build, run, and manage AI data pipelines with an open-source orchestration platform
★ 8,759 GitHub
Apache-2.0 data-pipelineorchestrationetlpythonmachine-learningdata-engineering Automatisierung
Überblick
Mage AI is an open-source data pipeline orchestration platform that empowers AI and ML teams to build, run, and manage data pipelines for integrating and transforming data. With built-in support for Python, SQL, and R, it provides a powerful web-based IDE, real-time monitoring, and seamless integration with popular AI/ML tools. Teams use Mage to streamline data preparation, feature engineering, and model training workflows — all from a single, intuitive interface. Self-host Mage AI with Docker for full control over your data pipelines.
Anforderungen
Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB
Empfohlener VPS
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 8
8 vCPU · 32256 MB · 400 GB
Affiliate-Hinweis
Docker Compose
# Generated by Run This Ai — docker-compose.yml
services:
mage-ai:
image: mageai/mageai:latest
restart: unless-stopped
ports:
- 8080:8080
volumes:
- ./data/mage-ai:/data
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