
Which is more popular?
Splid might be a bit more popular than mlsql. We know about 2 links to it since March 2021 and only 2 links to mlsql.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | splid.app |
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What each product offers, as listed by its team.


No features have been listed yet.
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Overall verdict
Why this product is good
Recommended for
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"Splid" by Kvelertak (ALBUM OF THE YEAR CONTENDER?) | ALBUM REVIEW
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External articles and on-site reviews we used to compare the two products.


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Splid is an excellent app for those who want to take their bill splitting to the next level. It is among the popular bill splitting apps that supports advanced features like location-based payment suggestions,...
I prefer this app to similar ones I've tried. It seems clearer, more straightforward and simpler to use for normal holidays etc. But if you need more complex arrangements it's versatile too: in that you can have...
Splitting up the cost of group trips can be tough. Splid allows you to add in all the expenses of a trip and then split it up among each person on the trip. The app is useful for splitting up non-trip expenses as...
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
Would be interesting to see how this compares to https://splid.app/. - Source: Hacker News / about 2 years ago
Https://splid.app/ is a great no-account alternative. - Source: Hacker News / over 4 years ago
When comparing mlsql and Splid, you can also consider the following products.


Splitwise is a free tool for friends and roommates to track bills and other shared expenses, so that everyone gets paid back. On the web, iPhone, and Android!
Compare Splitwise to mlsql or Splid: