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

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One feed for climate grants, tenders and funding signals.

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 | raiselens.com |
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| Company | — | Startup from the United Kingdom · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
RaiseLens is a discovery and intelligence platform for climate and sustainability funding. It aggregates grants, tenders, accelerator programmes and funder profiles from more than 100 government, multilateral, foundation and corporate sources into one classified, searchable feed, with records...
What each product offers, as listed by its team.


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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 Raise Lens yet.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using mlsql and Raise Lens. 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 Raise Lens since Jul 2026.
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