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

BayutAPI.dev
Apify
Open Listings
Real Estate Script by BestClassifiedScript
Restate
ScrapingBee
Zyte
Dubai's #1 housing forecast platform.

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 | datahabibi.ae |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from the United Arab Emirates · 10 - 19 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
dataHabibi brings Dubai housing price forecasts, rental yields, ROI analysis and official DLD transaction records together for towers, projects and communities across Dubai. Its AI models read registered DLD transactions daily to price 5,500+ buildings, score rental yields and forecast prices....
What each product offers, as listed by its team.


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


As answered by people managing mlsql and DataHabibi.ae.
DataHabibi.ae's answer:
Early launch; public customer names are not disclosed yet.
DataHabibi.ae's answer:
dataHabibi combines Dubai real estate maps, DLD transaction data, building/project pages, ROI/yield analysis, AED/sqft charts, and area intelligence in one workspace. Unlike listings portals, it focuses on market evidence and property intelligence rather than only active listings.
DataHabibi.ae's answer:
Choose dataHabibi if you want to understand the Dubai property market before making a decision. It helps users compare buildings, projects, areas, prices, yields, transaction history, and market trends using data-first tools instead of relying only on listings or broker summaries.
DataHabibi.ae's answer:
dataHabibi is built for UAE real estate agents, brokerages, investors, buyers, developers, valuers, lenders, and analysts who need reliable Dubai property data, market comparisons, and investment intelligence.
DataHabibi.ae's answer:
dataHabibi was built because Dubai real estate research is fragmented. Listings, DLD transactions, off-plan project data, yield signals, and area trends often live in separate places. dataHabibi brings them together into a map-first intelligence platform for better property decisions.
DataHabibi.ae's answer:
dataHabibi is built with Next.js, React, TypeScript, Mapbox, Supabase/Postgres, Stripe, Cloudflare, Tailwind CSS, and custom real estate data pipelines.
Share your experience with using mlsql and DataHabibi.ae. 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 DataHabibi.ae since Jun 2026.
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