
Metabase
MindsDB
Avian
DataSquirrel.ai
Genie AI
Polymer
LogicLoop
Analytics as code - your team and AI agents build and maintain your entire analytics stack together, from ETLs to dashboards, in a git repo you own.

Machine Learning Playground
Spotify.me
Apple Machine Learning Journal
Surface Studio
MacBook Pro
Amazon Machine Learning
iOS
Visual tool for building custom deep learning models

Which is more popular?
Based on our record, Lobe seems to be more popular. It has been mentioned 15 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | querio.ai | lobe.ai |
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| Listed in |
In their own words, as submitted to SaaSHub.


Querio is the data platform where your team and your AI agents build and maintain your entire analytics stack together - from ETLs to dashboards - in a git repo you own. Context, dashboards, and automations live as versioned code and files, so a metric definition changes once and updates...
No description of Lobe yet.
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
doble Kara by Lars Prsko, Of Tablador, Og Querio Review (HeneralRap Review)
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Querio and Lobe. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Querio since Sep 2023.
This is interesting. The closest I can compare it to is lobe.ai. Source: almost 4 years ago
Lobe.ai says object detection is coming soon. Source: about 4 years ago
I need urgent help please!!! I've just installed the new Version of lobe.ai on my MAC and now, after it has finished, the prediction rate has decreased from more than 90% to 50% :-( :-(. Source: about 4 years ago
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Breathtaking visuals for learning ML techniques.
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We are an open-source project that enables you to do Machine Learning using SQL directly from the Database.
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Beautiful analytics on your Spotify listening habits 🎧
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A blog written by Apple engineers
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