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

Donut Slack Bot
Coffee Chat Slack
Catchup Rocks
Snack Slack Bot
Coworker Coffee
Suptask
Crewting
Macarons is your virtual watercooler for casual conversations with colleagues you rarely meet on the hallway.

Which is more popular?
Based on our record, mlsql should be more popular than Macarons. 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 | macarons-roulette.app |
| Pricing | — | |
| Company | — | 2022 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
Chat Roulette for Slack Meet random people from your organization for a coffee with macarons or for a quick video call. Get to know your colleagues better and maybe even make new (work) friends. 🧁 Quick and Easy Just add the Macarons app to a Slack channel and it will automatically pair...
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
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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 Macarons. 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
It took us a few months (I think it was 4) but now we released Macarons. After adding Macarons to the workspace you have to invite it to a channel and then can configure how often people of that channel are matched. Additionally you can... Source: over 4 years ago
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