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

Happy Scale
Libra - Weight Manager
MacroFactor
fabtrackr
Lose it!
Monitor Your Weight
Trale
A weight, body measurement and progress photo tracker that works offline and keeps the log on your phone.

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.
|
|
|
|
|---|---|---|
| Website | github.com | sapplify.com |
| Pricing | — | |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
sWeight tracks weight, body measurements and progress photos in one place. The dashboard shows your latest weight, a 7-day average, a 14-day chart, goal progress, BMI and waist-to-height ratio. Chest, waist, hips, arms and thighs are logged against a body map, with left and right kept separate,...
What each product offers, as listed by its team.


No features have been listed yet.
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 sWeight yet.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using mlsql and sWeight. 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 sWeight since Oct 2026.
When comparing mlsql and sWeight, you can also consider the following products.


Happy Scale is a simple to use weight loss tracking and fitness maintaining the application for the smartphone users.
Compare Happy Scale to mlsql or sWeight: