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

Polymer
Beautiful.AI
infogr.am
CSVLens
ReportPDF
Venngage
Piktochart
Turn CSV or Google Sheets data into branded, AI-narrated PDF client reports in minutes

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 | naxely.com |
| Pricing | — | |
| Company | — | Startup from India · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
Naxely converts CSV or Google Sheets data into branded, AI-narrated PDF client reports — with charts, anomaly detection, and executive summaries — built for freelance analysts, consultants, and small agencies who send recurring client reports. Bring your own AI key (Gemini, Claude, OpenAI,...
What each product offers, as listed by its team.


No features have been listed yet.
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
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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 Naxely.
Naxely's answer:
FastAPI, React, TypeScript, Supabase, ReportLab, Python
Naxely's answer:
Freelance consultants and marketing agencies who regularly deliver data reports to clients.
Naxely's answer:
Built by a solo founder to eliminate the hours spent manually creating client reports. Upload data, get a branded PDF — that's it.
Naxely's answer:
Naxely turns raw CSV or Google Sheets data into a fully branded PDF report with charts, anomaly detection, AI insights, and recommendations in under 30 seconds — no design skills needed.
Naxely's answer:
Naxely is built specifically for freelancers and agencies who need to deliver professional client reports fast. It supports white-label PDFs, BYOK AI (Groq, DeepSeek, OpenAI, Gemini), and scheduled automated reports.
Share your experience with using mlsql and Naxely. 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: almost 5 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
Tracking Naxely since Jun 2026.
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