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

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Wikitude AR SDK
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Hammer is an open-source library that can recognize gestures made by touch, mouse and pointer events.
Which is more popular?
Based on our record, Hammer.js should be more popular than mlsql. It has been mentioned 7 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | hammerjs.github.io |
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What each product offers, as listed by its team.


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An editorial look at what each product does well and who it suits.


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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using mlsql and Hammer.js. 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
Originally, I used HammerJS to allow the user to use their fingers to do this but I found it rather difficult to use two fingers and try to capture a photo of myself. It’s a bit easier to simply hold my phone firmly and use the sliders... - Source: dev.to / over 1 year ago
Actually, I thought if I used hammerjs, it would be easy, but actually I gave up using that since it seemed that hammerjs's development wasn't active any more unfortunately. - Source: dev.to / almost 4 years ago
Looking at https://delassus.com/javascripts/app.js you can see they used hammer.js(https://hammerjs.github.io/) to achieve the gestures, which I am assuming is your focus here. Source: about 5 years ago
When comparing mlsql and Hammer.js, you can also consider the following products.


Reach into the future of virtual and augmented reality with the most advanced hand tracking on Earth, used by over 300,000 developers worldwide.
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