Mage

Give your data team magical powers!

4.9
β€’31 reviewsβ€’

313 followers

Open-source data pipeline tool for transforming and integrating data. The modern replacement for Airflow. - Integrate and synchronize data from 3rd party sources - Build real-time and batch pipelines to transform data using Python, SQL, and R - Run, monitor, and orchestrate thousands of pipelines without losing sleep
Mage gallery image
Mage gallery image
Mage gallery image
Mage gallery image
Mage gallery image
Mage gallery image
Free Options
Launch Team

What do you think? …

Tommy DANGerous
After working with hundreds of product developers at Airbnb for over 5 years, I saw a lot of them had great ideas on how to use AI to enhance their products. Unfortunately, everyone still relied on data science resources to help them implement their ideas. Existing tools were designed specifically for data scientists, making the power of AI inaccessible to most people. That’s why we created Mage. It’s the easiest way to build and use AI. Now every developer can integrate AI predictions into their products, creating immediate value for their users. Traditional AI models can take months to build and ship; with Mage, it only takes minutes. How it works: 1. Connect your data to Mage via data warehouse, database, API, etc. 2. Enhance and clean your data with Mage’s guided suggestions 3. Train, improve, and deploy your model to an online API endpoint You might be wondering "what is a mage?" A mage is someone who uses magic. Advanced technology is indistinguishable from magic. Our mission is to equip product developers with advanced AI technology, transforming them into someone who uses magic: a mage. Get started with Mage for free. Please let us know if you have any questions, we’d love to hear your feedback and see what you build!
Greg Janota
@tommydangerouss That's awesome! Good luck!
Dragos Bulugean
@tommydangerouss @greg_janota Congrats on the launch! I tried to find a getting started guide. Any link will help to check if we can use Mage πŸ™Œ
Thomas Chung πŸ§™β€β™‚οΈ
@tommydangerouss πŸ™Œ πŸ’―πŸš€
Johnson Kwok
πŸ™ŒπŸΌ
Said Saad
@tommydangerouss congrats on the launch!
Lenny Rachitsky
Congrats on your launch @tomydangerouss and team! I love how easy Mage makes creating data predictions. Looking forward to seeing what’s to come.
Thomas Chung πŸ§™β€β™‚οΈ
Thank you Lenny! Means a lot coming from a legend like you!
Kai Hess
@tomydangerouss @lenny_rachitsky Thank you Lenny! We've got many more magical things on the way.
Johnson Kwok
Thanks lenny!
John Patrick Hinek
@tomydangerouss @lenny_rachitsky Thanks for all the feedback and support Lenny!
Annie Pang
@tomydangerouss @lenny_rachitsky Thanks for the support!!!
Johannes Karjula
Let's check this out @aleksi_halsas1
John Patrick Hinek
@aleksi_halsas1 @karjula thanks for your comment! Would love your insight and feedback on how we can improve :)
Aleksi Halsas
@karjula Super interesting product. Congrats on launch for the team!
John Patrick Hinek
@karjula @aleksi_halsas1 Thanks Aleksi!
Thomas Chung πŸ§™β€β™‚οΈ
@aleksi_halsas1 @karjula Thank you. Hope to hear some feedback!
Johnson Kwok
@aleksi_halsas1 @karjula Hope you like it!