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UsabilityHub is a platform for running quick and simple usability tests and design surveys.

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

Which is more popular?
Based on our record, UsabilityHub should be more popular than mlsql. It has been mentioned 11 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | usabilityhub.com | github.com |
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External articles and on-site reviews we used to compare the two products.


UsabilityHub is a platform with a good range of features and a rather competitive pricing compared to UserZoom. They also provide help with recruiting participants for your study which makes them another great...
Another free option is Usability.Testing.Exchange. It’s very much like UsabilityHub in that you test other users websites in order to earn credits and use them for your own tests. The feedback is somewhat limited as...
Usabilityhub is very similar to UserThink above where you can get on demand testers to visit your website and give you feedback. However they have a much more attractive pricing plans. For instance, If you join their...
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Recommendations tracked on public social media and blogs since March 2021.


Usabilityhub.com — Test designs and mockups on real people, track visitors. Free for one user, unlimited tests. - Source: dev.to / almost 4 years ago
Hi, I am doing research on some of the user testing tools out there like lookback.io, Marvelapp.com, maze.design, usabilityhub.com, userbrain.net, usertesting.com, userzoom.com. I would like to know about your experience. Source: about 4 years ago
My impression is that all three tools (Useberry, Maze, Usabilityhub) are very similar, but have slightly different pricing. Source: about 4 years ago
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
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