
FriendlyData
Infer SQL queries from plain-text questions and table headers.

miniPaint
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Paint +++ is a native image editor for Mac that enables you to complete everyday image editing tasks in a single place.

Which is more popular?
Based on our record, Paint +++ should be more popular than mlsql. It has been mentioned 5 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | paintz.app |
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What each product offers, as listed by its team.


No features have been listed yet.
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Paint +++ yet.
How often each product is chosen within a category, 0–100% relative to the other.


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


I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
Seems like there must be a better way? https://paintz.app seems to be able to do this without precomputing all of the spaces you could flood. - Source: Hacker News / over 3 years ago
That said, my kid, above all else, had the most fun with paintz.app (website), just creating pictures. He's moved onto brush.ninja now (at 7) and is doing simple gif animations. Source: over 3 years ago
Https://paintz.appWelcome to PaintZ! Screenshot of the PaintZ toolbar with the drawing tools, tool settings, color pallette,. Select the brush tool and start painting! Source: almost 4 years ago
When comparing mlsql and Paint +++, you can also consider the following products.


Online graphics editing tool use HTML5 technologies like Canvas, Offline support, Drag and Drop.
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