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

Lattice
15Five
7Geese
Leapsome
Reflektive
DeepTalent
Synergita
Human-friendly performance management that helps employees grow and succeed

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 | small-improvements.com |
| Pricing | — | |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
Small Improvements is a performance management tool that helps employees grow and succeed. Over 750 medium-sized companies use the customizable set of core features – Praise, 1:1 Meetings, Objectives, 360s, and Reviews – to encourage timely, meaningful feedback.
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
Small Improvements is ideal for small to medium-sized businesses looking to streamline their performance review process and improve communication and feedback among teams. It is also suitable for organizations focused on driving employee engagement and growth within their workforce.
Walkthroughs and reviews on video.
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Kaizen | The Philosophy of Continuous Small Improvements | Book Review | Sadman Sadik (সাদমান সাদিক)
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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 Small Improvements. 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 Small Improvements since Mar 2021.
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