Mage is an open-source tool for building and running data pipelines that transform your data.

Here is a sample data pipeline defined across 3 files:

# data_loaders/load_data_from_file.py
import pandas as pd


@data_loader
def load_data():
    return pd.read_csv('default_repo/titanic.csv')

# transformers/select_columns.py
@transformer
def transform_df(df, *args):
    return df[['Age', 'Fare', 'Survived']]

# data_exporters/export_to_file.py
@data_exporter
def export_data(df) -> None:
    df.to_csv('default_repo/titanic_transformed.csv')

What the data pipeline looks like in the UI:

New? We recommend reading about blocks and learning from a hands-on tutorial.

1. Quick start
2. Demo
3. Tutorials
4. Core design principles
5. Features
6. Documentation
7. Contributing
8. Community

Install Mage using Docker or pip:

Create a new project and launch tool (change demo_project to any other name if you want):

docker run -it -p 6789:6789 -v $(pwd):/home/src \
  mageai/mageai mage start demo_project

_{Follow the guide if you want to use PySpark kernel in your notebook.}

pip install mage-ai

_{For additional packages (e.g. spark, postgres, etc), please see Installing extra packages.}

_{If you run into errors, please see Install errors.}

mage start demo_project

Open http://localhost:6789 in your browser and build a pipeline.

Try a hosted version of the tool here: http://demo.mage.ai.

WARNING

The live demo is public, please don’t save anything sensitive.

_{Click the image to play video}

• Train model on Titanic dataset
• Load data from API, transform it, and export it to PostgreSQL
• Integrate Mage into an existing Airflow project

Every user experience and technical design decision adheres to these principles.

1. Easy developer experience
2. Engineering best practices built-in
3. Data is a first-class citizen
4. Scaling made simple

• Features overview
• Roadmap
• Changelog

Read more docs here.

Check out the 🎁 contributing guide to get started by setting up your development environment and exploring the code base.

We love the community of Magers (/ˈmājər/); a group of mages who help each other realize their full potential!

To live chat with the Mage team and community, please join the free Mage Slack channel.

For real-time news and fun memes, check out the Mage Twitter.

To report bugs or add your awesome code for others to enjoy, visit GitHub.

See the LICENSE file for licensing information.