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

Elevate
Human Benchmark
Brain Workshop
gbrainy
CogniFit
Brainturk
BrainHQ
Discover what your mind can do. Improve memory, increase focus, and find calm - with the #1 brain training app. Get started now.

Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | app.lumosity.com |
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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
Overall verdict
Why this product is good
Recommended for
Lumosity is recommended for individuals who are interested in casual brain training exercises and want to engage in activities that challenge their cognitive skills. It is suitable for users of different age groups but is particularly popular among adults looking to maintain or slightly enhance their cognitive capabilities. It should not be used as a sole method for addressing cognitive impairments or serious cognitive challenges.
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Lumosity Sucks (And Is Not Worth Your Money)
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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 Lumosity. 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
Tracking Lumosity since Mar 2021.
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Elevate is an award-winning brain training tool designed to build communication and analytical skills.
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