Mage

Give your data team magical powers!

5.0•8 reviews•

312 followers

Give your data team magical powers!

5.0•8 reviews•

312 followers

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Databases and backend frameworks

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

Free Options

Launch tags:Developer Tools•Artificial Intelligence•Tech

Launch Team

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Promoted

Sahha

Huge, this is a groundbreaking tool for broader developer communities. I love it, congrats, this has the potential to be a huge success!

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4yr ago

Mage

Maker

Thank you so much @aleksdahlberg! Yes, we built this for technical, non-experts. People who can code but may not have gone to school for AI. This makes it now possible to build AI models that make predictions, even without any prior AI experience. Developers can keep doing what they do best and build cool products, leaving the complicated math and infrastructure to Mage.

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4yr ago

Mage

Maker

@aleksdahlberg Thank you so much for your encouraging words!! We really appreciate it! :)

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4yr ago

Mage

Maker

@aleksdahlberg Thanks so much Aleks. We hope you get a chance to try it out soon. We'd love your feedback and to see what you build.

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4yr ago

Mage

Maker

@aleksdahlberg Thanks Aleks for your kind words and feedback!

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4yr ago

Some great inspiration here in Mage for some predictive modeling we're working on in the personal finance space. Great job and best of luck Tommy!

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4yr ago

Mage

Maker

@chillboomer Thanks so much Craig!

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4yr ago

Mage

Maker

@chillboomer personal finance benefits a ton from leveraging AI. We’d love to see what you build and help you optimize the predictive model you create in Mage. Looking forward to seeing what you build with Mage. Please share your cool projects with us and the community on our online Discord channel: https://www.mage.ai/chat

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4yr ago

Mage

Maker

@chillboomer Thank you for your feedback Craig! Would love to hear your experiences as you leverage Mage in the personal finance space!

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4yr ago

Mage

Maker

@chillboomer Thank you so much for your feedback and support Craig!!

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4yr ago

Love this type of products that put the possibilities and choices on user's hands. Still experimenting but looks promising so far, good job.

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4yr ago

Mage

Maker

@pau4navarro Thank you Pau! Looking forward to hearing more about your experiences using Mage!

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4yr ago

Mage

Maker

@pau4navarro Thanks Pau! Let us know if you have any questions or feedback when you're building.

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4yr ago

Mage

Maker

@pau4navarro Thank you so much for your feedback and support Pau!! Means so much to us!

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4yr ago

Mage

Maker

Hey @pau4navarro! Thank you for the kind words. We’d love to see what you build. Also, if you have ideas or questions or feedback, we’d love to hear it. Please drop us a message in our live on line Discord chat: https://www.mage.ai/chat

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4yr ago

This is huge! Congrats Mage team. I worked with @tommydangerouss and @xiaoyou_wang at Airbnb and let me tell you they are awesome, so glad for you guys. Also having tried Mage it’s very intuitive even for someone who kinda far removed from this ML/AI field. Go Mage!

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4yr ago

Mage

Maker

Thank you soo much @pavel_lagutski! You’re early feedback on the product help us make it what it is today! Thank you for being a power user!!!

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4yr ago

Mage

Maker

@pavel_lagutski Thank you so much for your support!!

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4yr ago

Mage

Maker

@tommydangerouss @xiaoyou_wang @pavel_lagutski 💯 agree! Thanks Pavel for your feedback and support!

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4yr ago

Mage

Maker

If AI and ML were simply buzzwords to you before, Mage makes leveraging ML accessible to non-data scientists, and I find that game-changing if you participate in our current data-driven market. We're so excited to share our product with you, and it's totally free to try 🥰

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4yr ago

Mage

Maker

@felicia_kuan 🙌 💯 🚀

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4yr ago

Mage

Maker

@felicia_kuan Thank you sooo much 🔥 🧙 ⚡

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4yr ago

It's awesome to see Mage making A.I. more accessible. Congrats to @tommydangerouss , @xiaoyou_wang , and the rest of the Mage team!

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4yr ago

Mage

Maker

Thank you @kevtrice!!! That’s exactly what we’re doing. Now, more product developers can build data-driven products using AI!!!

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4yr ago

clientdb

Wow - that's super powerful! Do you integrate with all major data houses and databases?

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4yr ago

Mage

Maker

@rogrenke thanks Roland! Yes, we do integrate with all major data warehouses and databases.

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4yr ago

Mage

Maker

@rogrenke Thank you so much for your support!! Yes, we do! :)

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4yr ago

Mage

Maker

@rogrenke thanks for the support!!

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4yr ago

Mage

Maker

@rogrenke Hey! Which data sources do you use? Snowflake? AWS? GCP?

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4yr ago

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5 6 7

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5.0

Based on 8 reviews

Review Mage?

Mage is highly praised for its intuitive and fluid pipeline development using Python, SQL, and R. Users appreciate its seamless integration and synchronization capabilities, making it a strong alternative to Airflow. The tool's robust monitoring and user-friendly interface are frequently highlighted, with many noting its ability to simplify complex data operations. Users also commend the responsive support team and the tool's rapid development. Overall, Mage is recognized for its powerful functionality and excellent user experience, making it a valuable asset for data management and AI projects.

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