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ShelfCount.win VS mlsql

Compare ShelfCount.win VS mlsql and see what are their differences

ShelfCount.win

Counts, recipe costing, purchase orders, invoice scanning, and real COGS for $50/month flat. Built by a restaurant owner. 14-day free trial — nothing charged until it ends, cancel in one click.

Rating
0 reviews
Pricing
Paid Free trial $50 / Monthly (Flat rate, unlimited users and locations)
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Alternatives Is it good?
mlsql

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

Rating
0 reviews
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Alternatives Is it good?
Kechie
Kechie Inventory Management sponsored
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
Inventory Management popularity
100% vs 0%
alternatives listed
9 vs 1

Base details

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

ShelfCount.win
mlsql
Website getshelfcount.com github.com
Pricing
Paid Free trial $50 / Monthly (Flat rate, unlimited users and locations) Official pricing
—
Platforms
Web
—
Listed in
Restaurants Restaurant Management Restaurant Management Software Inventory Management +1
Education LMS Online Learning Web App +1

About ShelfCount.win and mlsql

In their own words, as submitted to SaaSHub.

ShelfCount.win
mlsql

ShelfCount is inventory management, recipe costing, and true COGS built for independent restaurants — created by a restaurant owner who was tired of MarketMan's complexity and pricing. Pricing: $50/month flat, month-to-month, cancel anytime. No per-seat fees, no tiers, unlimited team members and...

Read more about ShelfCount.win

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

ShelfCount.win 6 features
mlsql 0 features
  • Inventory counts from any phone
    No app install required
  • Invoice and receipt scanning
    Review-first approval, no auto-committed OCR
  • Recipe and prep-recipe costing
    Automatic recost when ingredient costs change
  • Par levels and purchase orders
    One-click POs emailed directly to vendors
  • POS sales sync
    Square and Clover live; Toast in certification
  • Theoretical vs. actual COGS
    Compare planned food cost to real food cost

No features have been listed yet.

Analysis

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

ShelfCount.win
mlsql

No analysis of ShelfCount.win 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
ShelfCount.win
mlsql
100% 100%
Inventory Management
0% 0%
0% 0%
LMS
100% 100%
100% 100%
Restaurant Management
0% 0%
0% 0%
Education
100% 100%

Questions & Answers

As answered by people managing ShelfCount.win and mlsql.

What makes your product unique?

ShelfCount.win's answer

ShelfCount charges one flat $50/month fee with unlimited team members and unlimited storage locations, no per-seat pricing and no tiers. It combines inventory counts (from any phone, no app install), recipe and prep-recipe costing, invoice/receipt scanning, purchase ordering, and theoretical vs. actual COGS in one tool built specifically for independent restaurants.

Why should a person choose your product over its competitors?

ShelfCount.win's answer

ShelfCount was built by a restaurant owner who found existing tools like MarketMan overpriced and overcomplicated for a single independent location. It covers the same core workflow — counts, recipe costing, invoice scanning, purchase orders, and COGS — at one flat rate with unlimited users and locations, backed by a 14-day free trial and one-click cancellation. A $299 concierge migration (including from MarketMan) is available for anyone switching over.

How would you describe the primary audience of your product?

ShelfCount.win's answer

Independent restaurants, cafes, and coffee shops that need real inventory counts, recipe costing, and COGS tracking without enterprise-level pricing or complexity — typically single-location or small multi-location operators.

What's the story behind your product?

ShelfCount.win's answer

ShelfCount was built by a restaurant owner who was frustrated with the cost and complexity of existing inventory platforms like MarketMan for running a single independent restaurant. The goal was a simpler, flat-rate tool that still covers the essentials — counts, recipe costing, invoice scanning, purchase ordering, and COGS — without per-seat fees or enterprise sales cycles.

User comments

Share your experience with using ShelfCount.win 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.

ShelfCount.win 0 mentions
mlsql 2 mentions

Tracking ShelfCount.win 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

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