Software Alternatives & Startups

Fraudly.app VS mlsql

Compare Fraudly.app VS mlsql and see what are their differences

Fraudly.app

See it. Check it. Trust it.

Rating
5.0 · 1 review
Pricing
Freemium Free trial €1.99 / Monthly
mlsql

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

Rating
0 reviews
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
Security popularity
100% vs 0%
alternatives listed
3 vs 1

Base details

Website, pricing, platforms and company facts side by side.

Fraudly.app
mlsql
Website fraudly.app github.com
Pricing
Freemium Free trial €1.99 / Monthly Official pricing
—
Platforms
iOS Web Android Google Chrome +1
—
Company Startup from The Netherlands · 1 - 9 employees —
Listed in

About Fraudly.app and mlsql

In their own words, as submitted to SaaSHub.

Fraudly.app
mlsql

Fraudly helps people determine whether a website can be trusted before they shop, sign up, download, or share personal information. Traditional scam checkers often rely on blacklists or previously reported websites. While effective for known threats, they can provide limited insight into newly...

Read more about Fraudly.app

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

Fraudly.app 2 features
mlsql 0 features
  • Scam Check
    Check the URL for reputation
  • Scam Awareness
    Do the Scam awareness quiz

No features have been listed yet.

Analysis

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

Fraudly.app
mlsql

Overall verdict

  • I don't have verified, up-to-date information about Fraudly.app specifically, so I can't confirm its quality, reliability, or legitimacy. Before using it, you should independently verify its reputation, read recent user reviews, check for transparent company information, and confirm how it handles data privacy and security.

Why this product is good

  • Insufficient verified information available to assess actual performance or trustworthiness.
  • No confirmed data on user reviews, business registration, or third-party audits.
  • Fraud-detection tools vary widely in accuracy and legitimacy, so due diligence is essential.
  • Unknown pricing, support quality, and refund policies at this time.

Recommended for

  • Users willing to conduct their own research and verify legitimacy before committing.
  • Businesses that can test the service on a small scale before full adoption.
  • Not recommended for critical fraud-prevention needs without independent verification of credibility.

Overall verdict

  • MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.

Why this product is good

  • It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
  • Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
  • Open-source and actively developed, allowing customization and community-driven improvements.
  • Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
  • Reduces the need to context-switch between separate ETL, analytics, and ML tools.

Recommended for

  • Data engineers and data scientists who prefer SQL-centric workflows
  • Teams working with big data on Apache Spark
  • Organizations wanting to unify ETL and machine learning pipelines
  • Companies seeking an open-source alternative to fragmented ML tooling
  • Analysts looking to build ML models without deep programming expertise

Category popularity

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

Score bands 0–20 21–40 41–50 51–60 61–100
Fraudly.app
mlsql
100% 100%
0% 0%
0% 0%
LMS
100% 100%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Fraudly.app and mlsql.

What makes your product unique?

Fraudly.app's answer

Fraudly doesn't rely on a single blacklist or database. It combines reputation data, security signals, reviews, domain intelligence, and scam indicators to help users identify suspicious websites quickly and confidently.

Why should a person choose your product over its competitors?

Fraudly.app's answer

Fraudly goes beyond basic URL checks by combining reputation data, reviews, security signals, and scam indicators into one clear trust score. We focus on simplicity, transparency, and helping everyday users stay safe online.

How would you describe the primary audience of your product?

Fraudly.app's answer

Fraudly is built for anyone who wants to know whether a website can be trusted. Whether you're shopping online, clicking a link from an email, verifying a new website, or helping family members stay safe online, Fraudly provides a simple way to assess trust before you act.

What's the story behind your product?

Fraudly.app's answer

Fraudly started with a simple observation: scam websites are becoming increasingly difficult to recognize.

Every day, people receive messages, advertisements, and links that appear legitimate at first glance. Modern scam websites often look professional, use HTTPS, display reviews, and imitate trusted brands, making it difficult for the average person to know who to trust online.

As someone who has spent years working with technology and helping others solve problems, I wanted to create a tool that makes online safety easier and more accessible. Instead of expecting users to understand complex security indicators, Fraudly brings together multiple trust signals—such as reputation data, security indicators, reviews, domain information, and scam intelligence—and presents them in a simple, easy-to-understand format.

The mission behind Fraudly is straightforward: help people make safer decisions online before they click, buy, or share personal information.

What started as a simple website checker has grown into a broader vision of improving online scam awareness through trust scoring, scam education, security insights, and tools that help both individuals and businesses stay safer online.

See it. Check it. Trust it.

Which are the primary technologies used for building your product?

Fraudly.app's answer

Fraudly is built using a modern web and mobile technology stack designed for performance, scalability, and reliability.

Core technologies include:

  • Next.js and React for the web application
  • TypeScript for type-safe development
  • PostgreSQL for data storage
  • Prisma as the database ORM
  • Vercel for hosting and deployment
  • SwiftUI for the native iOS application
  • AI-assisted development to accelerate product innovation and iteration

Fraudly also integrates multiple external reputation, security, and scam-intelligence sources to analyze websites and provide trust and risk insights to users in real time.

Who are some of the biggest customers of your product?

Fraudly.app's answer

Fraudly is currently focused on individual consumers and early adopters who use the platform to verify websites, online stores, and suspicious links before interacting with them.

We are also expanding into small business scam-awareness and employee education solutions, helping organizations improve their awareness of phishing, online fraud, and social engineering risks.

As an early-stage product, our focus is on building a trusted platform, listening to user feedback, and continuously improving the service rather than serving large enterprise customers.

User comments

Share your experience with using Fraudly.app and mlsql. For example, how are they different and which one is better?

Log in or Post with

Reviews and articles

External articles and on-site reviews we used to compare the two products.

Fraudly.app 5.0 · 1 review
mlsql no reviews yet
  • Different in many ways
    SaaSHub review
    · Jun 2026

    This is not anymore a fraud check tool, it's more like a trust platform on websites, webshops and retail trust. Fraudly combines many layers of security.

We have no reviews of mlsql yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Fraudly.app 0 mentions
mlsql 2 mentions

Tracking Fraudly.app since Jun 2026.

  • Download the files from Docker Container and locally edit them
    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
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

Alternatives to Fraudly.app and mlsql

When comparing Fraudly.app and mlsql, you can also consider the following products.