Software Alternatives & Startups

mlsql VS Kotidy

Compare mlsql VS Kotidy and see what are their differences

mlsql

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

Rating
0 reviews
Kotidy

Shopping, recipes, projects, chores and calendar, shared in real time with your household.

Rating
0 reviews
Pricing
Freemium €2.99 / Monthly
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
2 vs 0
Online Learning popularity
100% vs 0%
alternatives listed
1 vs 64

Base details

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

mlsql
Kotidy
Website github.com kotidy.app
Pricing —
Freemium €2.99 / Monthly Official pricing
Platforms —
iOS Android Web
Company — Startup from France · 1 - 9 employees · 2026
Listed in

About mlsql and Kotidy

In their own words, as submitted to SaaSHub.

mlsql
Kotidy

No description of mlsql yet.

Kotidy brings together everything that keeps a home running in a single app: shopping, meals, chores, projects and the calendar. Everyone in the household sees the same thing at the same moment: an item ticked off at the supermarket is crossed out instantly on your partner's phone. Shopping...

Read more about Kotidy

Features and specs

What each product offers, as listed by its team.

mlsql 0 features
Kotidy 5 features

No features have been listed yet.

  • Shared shopping lists
    Lists the whole household updates live. Grouped by category, with natural-language adding and a "Got it" section.
  • Recipes & meal plans
    Import a recipe from any website, plan the week's meals and generate the shopping list with a single tap.
  • Chores
    Schedule recurring chores on rotation or with a fixed owner. Reminders by time slot, and a fair split everyone can see.
  • Projects
    A kanban board or a list for your tasks, organised by project. Priorities, due dates, assignees, tags: nothing slips through the cracks.
  • Family Calendar
    Month, week, day or agenda. Events coloured by member, locations, reminders and iCal export to Google or Apple.

Analysis

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

mlsql
Kotidy

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

No analysis of Kotidy yet.

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
mlsql
Kotidy
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing mlsql and Kotidy.

What makes your product unique?

Kotidy's answer:

Kotidy puts everything that keeps a home running in one shared app: real-time shopping lists, recipes and weekly meal plans, projects, recurring chores and a family calendar. Chores can rotate automatically between members, and a fairness dashboard weighted by difficulty shows who carries what, with no ranking. One subscription covers the whole household with unlimited members. It works on Android, iOS and the web, offers home screen widgets, and is available in English, French, Italian and Spanish.

What's the story behind your product?

Kotidy's answer:

Kotidy started in spring 2026 as a side project for my own household: my partner and I needed a simple way to coordinate groceries, share chores fairly, follow home projects and keep track of our baby's appointments. It began as a web app, grew into native Android and iOS apps published in August 2026, and is now self-hosted in France.

Who are some of the biggest customers of your product?

Kotidy's answer:

  • Kotidy is a consumer app: its users are individual households (couples, families and roommates), not companies
  • We don't publish names of the households using it

Why should a person choose your product over its competitors?

Kotidy's answer:

Most households end up with one app for groceries, another for the calendar, a to-do app only one person opens, and a whiteboard on the fridge. Kotidy replaces all of them with a single space everyone shares, synced instantly: tick an item at the supermarket and it is ticked for everyone. The free plan has no time limit, no card and no cap on members. Premium costs €2.99/month or €24.99/year for the whole household, not per person. Mixed iPhone and Android households can use it together, and household data is hosted in France and never sold.

How would you describe the primary audience of your product?

Kotidy's answer:

Couples and families, with or without children, who share the day-to-day running of a home: groceries, chores, household projects and schedules. It also suits roommates. The common thread is people who want to share the mental load instead of carrying it alone.

User comments

Share your experience with using mlsql and Kotidy. 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.

mlsql 2 mentions
Kotidy 0 mentions
  • 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

Tracking Kotidy since Sep 2026.

Alternatives to mlsql and Kotidy

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