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MakeLesson VS mlsql

Compare MakeLesson VS mlsql and see what are their differences

MakeLesson

Interactive exercise and assignment platform for tutors. Less prep: turn a PDF, photo or topic into a lesson in 30 seconds. Less marking: every submission comes back already checked. One link, no student account, works perfectly on mobile.

Rating
0 reviews
Pricing
Freemium $6 / Monthly
Alternatives Is it good?
mlsql

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

Rating
0 reviews
Alternatives Is it good?
warmup.rocks
warmup.rocks keeps your CDN cache warm in every edge location worldwide: Cloudflare, Fastly, Akamai, CloudFront and more. Warming from 42 countries, hit-ratio analytics. sponsored

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
Education popularity
50% vs 50%
alternatives listed
7 vs 1

Base details

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

MakeLesson
mlsql
Website makelesson.com github.com
Pricing
Freemium $6 / Monthly Official pricing
—
Company Startup from Ukraine · 1 - 9 employees · 2025 —
Listed in
Education Online Education Digital Assessments And Tests
Education LMS Online Learning Web App +1

About MakeLesson and mlsql

In their own words, as submitted to SaaSHub.

MakeLesson
mlsql

MakeLesson is an interactive exercise and assignment platform for tutors and teachers. It makes the lesson, checks the homework, and keeps your calendar, payments and income in one place. Less prep: turn a PDF, photo or topic into a lesson in less than a minute. Less marking: every submission...

Read more about MakeLesson

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

MakeLesson 12 features
mlsql 0 features
  • Interactive lesson in 30 seconds
    Type what you want, or upload a PDF, photo or scan. You get a complete lesson back, ready to share or edit
  • No editing skill required
    Say what you want changed and the lesson updates. Manual tweaks are unlimited and free on every plan
  • Auto-grading
    Answers are checked the moment a student submits. You open the list already knowing who struggled
  • Share with one link
    Assignment and return in the same link. Nothing to install
  • No student account required
    Students just open the link. Those who sign up get a dashboard of their lessons and feedback
  • Works perfectly on mobile
    Exercises are laid out for the screen they open on, drag-and-drop included. Nothing to pinch or pan
  • Multi-speaker listening audio
    Built-in text to speech, with a separate voice per speaker
  • Miro integration
    mbed a live, auto-graded lesson on a Miro board
  • Lesson calendar
    One-to-one and group lessons, once, every week or every 2 weeks.
  • Payment tracker
    Price per hour for each student. See who has paid and who owes you.
  • Income overview
    Income this month, what you are owed, and the last six months.
  • Notifications
    Students get lesson reminders, lesson changes and reviewed homework.

No features have been listed yet.

Analysis

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

MakeLesson
mlsql

No analysis of MakeLesson yet.

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
MakeLesson
mlsql
50% 50%
Education
50% 50%
0% 0%
LMS
100% 100%
100% 100%
Online Education
0% 0%
100% 100%
Digital Assessments And Tests
0% 0%

Questions & Answers

As answered by people managing MakeLesson and mlsql.

Which are the primary technologies used for building your product?

MakeLesson's answer

A modern cloud-based web stack

What makes your product unique?

MakeLesson's answer

  • Full interactive lesson in 30 seconds. From a PDF, a photo of a textbook page, or one line describing the topic.
  • No editing skill required. Just ask for what you want. The lesson comes out looking designed.
  • Submissions come back checked. You open the list already knowing who struggled.
  • Miro integration. Embed a live, auto-graded lesson straight onto a board.

Why should a person choose your product over its competitors?

MakeLesson's answer

  • No manual setup, exercise by exercise. Every exercise arrives configured with the correct answers already filled in, ready to share instantly. In other tools you type that in by hand, one exercise at a time.
  • Start from what you already have. A PDF, a photo of a textbook page or a scan becomes a lesson, so you are not rebuilding your material from scratch.
  • Multi-speaker dialogues. Built-in text to speech gives every speaker their own voice, so listening practice takes minutes instead of a recording session.
  • Miro integration. Embed a live, auto-graded lesson straight onto a board for online lessons.

How would you describe the primary audience of your product?

MakeLesson's answer

Teachers who lose more time preparing and marking than teaching, and who do both themselves.

  • Private tutors setting homework between one-to-one lessons
  • ESL and other language teachers working from textbooks, PDFs and handouts
  • Online teachers whose students work from a phone
  • Language schools

What's the story behind your product?

MakeLesson's answer

This started with me being a student, not a teacher.

Printed handouts drove me up the wall. Writing answers into gaps too small for my handwriting. Getting a digital copy and finding there was no sane way to edit it. Every set of materials seemed to need a different tool, so half the work was fighting the format instead of doing the exercise.

My school had no digital approach at all. None. So I started asking teachers what actually got in their way, and built a first version around what they told me.

A lot of iterations followed. Then AI got good enough to change what was possible, and the interesting problem stopped being how to make one worksheet easier to fill in. It became how to let a teacher take whatever material they already have and turn it into something students can just open, do on their phone, and send back already checked.

That is what MakeLesson is now.

Who are some of the biggest customers of your product?

MakeLesson's answer

The customers are:

  • ESL and other language teachers, mostly working one to one or with small groups
  • Teachers of young learners, which is why no student account is required. Children should not be signing up for anything, and parents should not have to sign them up either

User comments

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

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Social recommendations and mentions

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

MakeLesson 0 mentions
mlsql 2 mentions

Tracking MakeLesson since Aug 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 MakeLesson and mlsql

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