mage-ai 0.9.79

Mage is a tool for building and deploying data pipelines.

Stars: 8650, Watchers: 8650, Forks: 910, Open Issues: 546

The mage-ai/mage-ai repo was created 3 years ago and the last code push was an hour ago.
The project is extremely popular with a mindblowing 8650 github stars!

How to Install mage-ai

You can install mage-ai using pip

pip install mage-ai

or add it to a project with poetry

poetry add mage-ai

Package Details

Author

Mage

License

None

Homepage

https://github.com/mage-ai/mage-ai

PyPi:

https://pypi.org/project/mage-ai/

GitHub Repo:

https://github.com/mage-ai/mage-ai

Classifiers

Related Packages

Errors

A list of common mage-ai errors.

Code Examples

Here are some mage-ai code examples and snippets.

GitHub Issues

The mage-ai package has 546 open issues on GitHub

• Bump lodash-es from 4.17.21 to 4.17.23 in /mage_ai/frontend
• [BUG] Zendesk integration pipeline cannot handle field type 'lookup'
• Bump diff from 5.2.0 to 5.2.2 in /mage_ai/frontend
• fix: ensure k8s job wait backoff limit
• Fix trigger schedule updates causing immediate pipeline execution
• Return query results from BigQuery.execute() method
• Fix AttributeError when deserializing None values
• Bump werkzeug from 3.0.3 to 3.1.5
• Bump aiohttp from 3.10.0 to 3.13.3
• [BUG]Technical issue: generation stuck without output
• [BUG] Blocks depending from 2 Dynamic parent blocks spawn many child blocks
• Bump storybook from 7.6.20 to 7.6.21 in /mage_ai/frontend
• [CG] Fix Oracle schema qualification in table queries
• [cg] fix MongoDB URI parsing issue
• [cg] Fix MongoDB connection string database extraction

See more issues on GitHub