GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com β€” GitHub - mage-ai/mage-ai: πŸ§™ Build, run, and manage data pipelines for integrating and transforming data.

BranchesTags
Open more actions menu

Latest commit

 

History

5,803 Commits
5,803 Commits

Folders and files

NameName
Last commit message
Last commit date
.git-dev/hooks
.git-dev/hooks
 
 
.github
.github
 
 
docs
docs
 
 
integrations
integrations
 
 
kube
kube
 
 
mage_ai
mage_ai
 
 
mage_integrations
mage_integrations
 
 
scripts
scripts
 
 
templates
templates
 
 
.flake8
.flake8
 
 
.gitignore
.gitignore
 
 
.pre-commit-config.yaml
.pre-commit-config.yaml
 
 
Dockerfile
Dockerfile
 
 
LICENSE
LICENSE
 
 
MANIFEST.in
MANIFEST.in
 
 
Makefile
Makefile
 
 
README.md
README.md
 
 
README_dev.md
README_dev.md
 
 
SECURITY.md
SECURITY.md
 
 
SUMMARY.md
SUMMARY.md
 
 
aws
aws
 
 
dev.Dockerfile
dev.Dockerfile
 
 
dev.requirements.txt
dev.requirements.txt
 
 
dev.spark.Dockerfile
dev.spark.Dockerfile
 
 
docker-compose.yml
docker-compose.yml
 
 
example.ipynb
example.ipynb
 
 
lsp.Dockerfile
lsp.Dockerfile
 
 
pg-docker-compose.yml
pg-docker-compose.yml
 
 
poetry.lock
poetry.lock
 
 
pyproject.toml
pyproject.toml
 
 
requirements.txt
requirements.txt
 
 
setup.py
setup.py
 
 
test_branch.Dockerfile
test_branch.Dockerfile
 
 

Repository files navigation

Mage OSS

Build modern data pipelines locally β€” fast, visual, and production-ready.


Mage OSS is a self-hosted development environment designed to help teams create production-grade data pipelines with confidence.

Ideal for automating ETL tasks, architecting data flow, or orchestrating transformations β€” all in a fast, notebook-style interface powered by modular code.

When it’s time to scale, Mage Pro β€” our core platform β€” unlocks enterprise orchestration, collaboration, and AI-powered workflows.


Mage AI GitHub repo stars Mage AI Docker downloads Mage AI license Join the Mage AI community


What you can do with Mage OSS

  • Build pipelines locally with Python, SQL, or R in a modular notebook-style UI

  • Run jobs manually or on a schedule (cron supported)

  • Connect to databases, APIs, and cloud storage with prebuilt connectors

  • Debug visually with logs, live previews, and step-by-step execution

  • Set up quickly with Docker, pip, or conda β€” no cloud account required

  • Your go-to workspace for local pipeline development β€” fully in your control.

mage



Start local. Scale when you're ready.

Use Mage OSS to build and run pipelines on your machine. When you're ready for advanced tooling, performance, and AI-assisted productivity, Mage Pro is just one click away.

Try Mage Pro free β†’


Quickstart

Install using Docker (recommended):

docker pull mageai/mageai:latest

Or with pip:

pip install mage-ai

Or with conda:

conda install -c conda-forge mage-ai

Full setup guide and docs: docs.mage.ai


Core Features

Feature Description
Modular pipelines Build pipelines block-by-block using Python, SQL, or R
Notebook UI Interactive editor for writing and documenting logic
Data integrations Prebuilt connectors to databases, APIs, and cloud storage
Scheduling Trigger pipelines manually or on a schedule
Visual debugging Step-by-step logs, data previews, and error handling
dbt support Build and run dbt models directly inside Mage

Example Use Cases

  • Move data from Google Sheets to Snowflake with a Python transform
  • Schedule a daily SQL pipeline to clean and aggregate product data
  • Develop dbt models in a visual notebook-style interface
  • Run simple ETL/ELT jobs locally with full transparency

Documentation

Looking for how-to guides, examples, or advanced configuration?

Explore our full documentation at docs.mage.ai.


Contributing

We welcome contributions of all kinds β€” bug fixes, docs, new features, or community examples.

Start with our contributing guide, check out open issues, or suggest improvements.


Ready to scale? Mage Pro has you covered.

Mage Pro is a powered-up platform built for teams. It adds everything you need for production pipelines, at scale.

  • Magical AI-assisted development and debugging
  • Multi-environment orchestration
  • Role-based access control
  • Real-time monitoring & alerts
  • Powerful CI/CD & version control
  • Powerful enterprise features
  • Available fully managed, hybrid, or on-premises

Try Mage Pro free β†’

About

πŸ§™ Build, run, and manage data pipelines for integrating and transforming data.

www.mage.ai

Topics

artificial-intelligencedatadata-engineeringdata-integrationdata-pipelinesdata-sciencedbteltetlmachine-learningorchestrationpipelinepipelinespythonreverse-etlsparksqltransformation

Resources

Readme
Apache-2.0 license

Security policy

Security policy
Activity
Custom properties

Stars

8.8k stars

Watchers

61 watching

Forks

993 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

You are visitor 01402503 β€” GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800Γ—600. No cookies required.