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

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Promoted

Mage finally makes AI and ML accessible to smaller teams. You want to be smart about how to serve customers, how/when to communicate with users, etc. Mage finally makes doing this in a smart way accessible to smaller companies.

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4yr ago

Mage

Maker

@ben_blumenfeld Thanks for the support Ben! Mage was built on the mission to increase accessibility to AI by delivering a solution to smaller teams!

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4yr ago

Mage

Maker

@ben_blumenfeld Thank you so much for all your feedback and support!

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4yr ago

Mage

Maker

@ben_blumenfeld Thank you so much for your support and feedback!!

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4yr ago

Mage

Maker

@ben_blumenfeld Thank you sooo much 🔥 🧙

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4yr ago

I had experience dealing with data and ML in multiple platforms. Mage is the easiest one for sure! This is the platform every engineer needs, especially engineer who wants to make a difference for their product.

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4yr ago

Mage

Maker

@xu_he2 Thank you Max! We aim to have data science tools available in conjunction with other familiar features that developers use.

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4yr ago

Mage

Maker

@xu_he2 Thanks so much Max!

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4yr ago

Mage

Maker

@xu_he2 totally agree! Existing ML tools are built and designed for data scientists; people who already gone to school for this. Mage is now making it easier than ever for non-experts to become the ML experts!

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4yr ago

Mage

Maker

@xu_he2 Thank you Max for your feedback! Yes, fastest and easiest to build and use AI!

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4yr ago

Mage

Maker

@xu_he2 Thank you so much for your feedback and encouraging words!! Really appreciate it!

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4yr ago

Congrats @tommydangerouss! What you guys are doing is incredibly exciting and can't wait to see what you all have in store!

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4yr ago

Mage

Maker

@tommydangerouss @thomas_truong Thanks so much for being apart of the journey Thomas!

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4yr ago

Mage

Maker

@tommydangerouss @thomas_truong Thanks Thomas!

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4yr ago

Mage

Maker

@tommydangerouss @thomas_truong Thank you so much for your support Thomas!! Means the world to us!

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4yr ago

Mage

Maker

@thomas_truong Thank you sooo much 🔥 🧙 ⚡

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4yr ago

Father's Day Pop Up Shop

Mage is simple to use but can perform complex data predictions in the click of a button. Huge congrats to @tommydangerouss on the launch; curious to see how Mage evolves going forward!

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4yr ago

Mage

Maker

@tommydangerouss @clay_schubiner1 Thank you so much Clay! We have some great features in the pipeline.

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4yr ago

Mage

Maker

@tommydangerouss @clay_schubiner1 Thank you Clay!

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4yr ago

Mage

Maker

@tommydangerouss @clay_schubiner1 Thank you so much Clay!!

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4yr ago

Mage

Maker

@clay_schubiner1 Thank you so much Clay! You’re spot on. We made Mage ultra simple to use but still very powerful. You can do very fast transformations on large datasets and create predictions from that dataset in minutes, not months.

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4yr ago

Congratulations to you and the team on the launch Tommy! Thrilled that you've built such data tools for businesses to use.

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4yr ago

Mage

Maker

@christopherfong Thank you so much Christopher!

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4yr ago

Mage

Maker

@christopherfong Thank you Christopher!

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4yr ago

Mage

Maker

@christopherfong Thank you so much!!

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4yr ago

Mage

Maker

@christopherfong a lot of businesses don’t have access to AI experts or AI tools that were designed and built for them. That is why Mage is aimed at helping those businesses compete with big tech.

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4yr ago

Lunch with me at

This is awesome! Mage is a dead simple solution for small teams to get all the benefits of AI/ML without all the infrastructure headaches. So awesome to see how far the team has gone! Congrats @tommydangerouss and team!

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4yr ago

Mage

Maker

@tommydangerouss @mmahalwy Thank you so much for the support Mohamed!

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4yr ago

Mage

Maker

@tommydangerouss @mmahalwy 🎯 Thanks Mohamed!

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4yr ago

Mage

Maker

@tommydangerouss @mmahalwy Thanks so much Mohamed!! W really appreciate your feedback & support! Means the world to us!

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4yr ago

Mage

Maker

@mmahalwy it is ultra simple. Even though we made it simple to use, we didn’t make it any less powerful.

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4yr ago

Congrats on the launch, @tommydangerouss!! I'm a big fan of the intuitive UI. Looking forward to see it take off!

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4yr ago

Mage

Maker

@tommydangerouss @romanfuchs thank you so much Roman! Would love to hear any feedback you maybe, and see your models once they go live!

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4yr ago

Mage

Maker

@tommydangerouss @romanfuchs Thanks Roman!

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4yr ago

Mage

Maker

@tommydangerouss @romanfuchs Thanks so much for your support!!

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4yr ago

Mage

Maker

Thank you so much @romanfuchs! We poured a ton of energy and focus making sure the UI and UX is top notch. Design has always been a core tenet of ours and that is what differentiates us.

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4yr ago

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3 4 5

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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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