Machine Learning Pipeline Management / open-source tool with DAG, Observability and Scale
Python GitHub:
github.com/mage-ai/mage-ai
Site:
mage.ai
#MLops / Prefect / Airflow
Tommy DANGerous
@TommyDANGerouss
Tommy DANGerous’s Tweets
Find out how empowered Mage to seamlessly organize and streamline user data for better insights! 🧙♂️📊✨
mage.ai/blog/unleashin
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Founders: Apply now to Neo Accelerator, the ultimate launchpad for 20 awesome tech startups.
neo.com/accelerator
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🚨 For our next trick, Rabbit Release v0.7.84! 🎩🪄🐰
⭐️ Backfill framework 2.0
⭐️ New data integration sources & destinations
⭐️ Streaming pipeline
⭐️ K8s support
⭐️ DBT improvements
⭐️ Metaplane integration
⭐️ Bug fixes & polish
Details: github.com/mage-ai/mage-a
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Amazing open source projects worth following:
secretops
typescript+react cms
retool for devs
airflow replacement
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Looking for Data Pipeline Orchestration Tools For R? I published an article on 5 tools you can explore including:
1. cronR (#cronR)
2. targets (#targets)
3. Kestra ()
4. Apache Airflow ()
5. Mage ()
#RStats #DataScience
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Just listened to our pod with , and remember the energy and momentum has made since pivot. Listen to and I go through the journey of creating a new modern airflow
Quote Tweet
E71 of the Open Source Startup Podcast is LIVE
@amanda_robs & @tnachen talk with @TommyDANGerouss, CEO of @mage_ai, about building data plumbing without the
This was a super fun episode, check it out!
anchor.fm/ossstartuppodc
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AMAGING podcast with our very own CEO & Co-founder, & hosts, & as they discuss 's journey to becoming the modern replacement for Airflow. 🧙♂️✨
Quote Tweet
E71 of the Open Source Startup Podcast is LIVE
@amanda_robs & @tnachen talk with @TommyDANGerouss, CEO of @mage_ai, about building data plumbing without the
This was a super fun episode, check it out!
anchor.fm/ossstartuppodc
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Had an awesome chat on the Podcast with of
We talk user discovery (spoiler: Tommy talked to 1K potential users and asked, “what is the most boring part of your data work?”), making content entertaining as well as informative & pivots 💪
Quote Tweet
E71 of the Open Source Startup Podcast is LIVE
@amanda_robs & @tnachen talk with @TommyDANGerouss, CEO of @mage_ai, about building data plumbing without the
This was a super fun episode, check it out!
anchor.fm/ossstartuppodc
Show this thread
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E71 of the Open Source Startup Podcast is LIVE🎙
& talk with , CEO of , about building data plumbing without the 💩
This was a super fun episode, check it out!👇
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🚨 Hop into Lunar Release v0.7.74! 🐇
⭐️ New data integration: Ads, ,
⭐️ Customize pipeline alerts
⭐️ Deploy Mage on AWS using CDK
⭐️ integration
⭐️ Bug fixes & polish
Details: github.com/mage-ai/mage-a
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Look who's trending on today! 🧙♂️
github.com/trending
#trending #mage #mageai #datapipelines #dataengineering #opensource
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Automated
Congrats to github.com/mage-ai/mage-ai, which has grown by 248 stars in the last 7 days and has reached 2.81K stars.
Thanks to the contributors:
ossinsight.io/analyze/mage-a
#Python
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This Tweet is unavailable.
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✨ New year, new look! Check out our website refresh! 🧙♂️
👉
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I just published Is Apache Airflow Due for Replacement? The First Impression Of mage-ai
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Well said! So many things are already table stakes (eg scalability, monitoring, XYX feature). But for some reason a tool can survive with a poor developer experience.
In the new age, tools with the ultimate developer experience will become generational companies 😉
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Even thought the data industry is very mature, opportunities to dramatically improve users' lives are unlimited. The vibrant startup community reflects that.
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🚨 The Last of Us Release v0.7.64 is here! 🆕 year, 🆕 features, & lots of enhancements! ✨
⭐️ New data integration sources & destinations
⭐️ Improved API performance
⭐️ Enhanced Postgres logical replication & scheduler's scalability
⭐️ & More!
Details: notion.so/mageai/What-s-
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Is Apache Airflow Due for Replacement? The First Impression Of mage-ai () #airflow #apacheairflow #dataengineering #data
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2. Mage
Their documentation is easy to read, and you can test it without setting it up yourself (here's the demo set up demo.mage.ai/pipelines)
Definitely follow their CEO with great tips and tricks.
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Tools can be a hurdle.
Great developers know how to manage any tool via documentation. However, decreasing the amount of time they need to test your product will give you a leg up with the developers.
👇 3 companies with excellent developer experiences.
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2️⃣ Featured Stack of the week
is an open-source tool for building and running data pipelines that transform your data.
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🚨 Announcing our Kaleidoscope Release v0.7.59! Explore these new features in any order you'd like!
⭐️ Dynamic blocks
⭐️ Integration w/ Airbyte, DBT Cloud, & Hightouch
⭐️ Heartbeat in logs
⭐️ Dev environment management in K8 cluster
⭐️ And more!
Details: notion.so/mageai/What-s-
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Today, we're launching "The Startup Stack" at , a series that goes over tools you can use to build *your own* startup!
Our first episode is an interview w/ , a programmer and entrepreneur working on Take a listen!!
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Me: "how was your holiday?"
Founder: "i shipped a lot of features"
solid gold on this call rn.
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if wants to beat airflow, make it super easy to install and scale.
airflow is still considered complicated to install on any platform.
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We've just launched our new docs to provide an even better developer experience! 🚀 We worked with our friends at to quickly and seamlessly revamp our docs into this beautiful, crisp, magical UI ✨: docs.mage.ai
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Interesting to see that and are both using singer. However claims there are issues with singer. Would be pretty awesome to see this space agree on 1 spec. airbyte.com/etl-tools/sing
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Not sure which is a more impressive technological feat: James Cameron’s new movie or ’s latest release...
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See how Mage stacks up against open-source ELT alternative, Airbyte. We'll go over features, integrations, pricing, and more. 🧙♂️🆚🐙
#ELT #ETL #dataintegration #dataengineering #datapipelines #mage #mageai #airbyte #opensource
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WOW, this is very much needed. We get so many sessions and events that it’s hard to get the full picture of what’s going on without watching everything.
This is HUGE!!!
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Today, @highlightio is excited to launch "Digests", a weekly summary of all of the sessions, errors and user activity on your web application. Though this feature is quite simple, it shows an important learning for our team 

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Crypto has lived through its 2008 moment. Different people, different (and more funky) asset names, but same underlying economics:
Take something risky and treat it as safe.
Here’s how crypto imploded and how it’s actually pretty simple:
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‘22 was crazy :
🌊 Completed 2 acquisitions enabling 2 major assets, including the ability to offer online ach/debit/credit giving at the LOWEST rates 💰
🌊 Expanded into Canada 🇨🇦
🌊 Approaching $100M in giving through our platform
Last night we celebrated 🎉
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🚨 Magers coming thru with some major features in The Peripheral Release v0.7.21! 😎🧙♂️
⭐️ Support DBT models
⭐️ Docs website
⭐️ New data integration features, sources, & destinations
⭐️ User code deployment
⭐️ Handle unstructured data
Details: notion.so/mageai/What-s-
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Enter: the Kalshi Developer Suite 👾
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