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mlsql VS Yummly

Compare mlsql VS Yummly and see what are their differences

mlsql

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

Rating
0 reviews
Alternatives Is it good?
Yummly

Yummly is a recipe app. You search through lots of recipes, add the ones you like, and even create shopping lists based on the recipes you pick. You can save your recipes with one click and later organize them into collections.

No screenshot yet
Rating
0 reviews
Alternatives Is it good?
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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
Web App popularity
100% vs 0%
alternatives listed
1 vs 206

Base details

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

mlsql
Yummly
Website github.com yummly.com
Listed in
Education LMS Online Learning Web App +1
Recipes Food Personal ERP Health And Fitness +1

Features and specs

What each product offers, as listed by its team.

mlsql 0 features
Yummly 6 features

No features have been listed yet.

  • Personalized Recommendations
    Yummly offers personalized recipe suggestions based on your tastes, dietary preferences, and past behaviors, making it easier to find meals you'll love.
  • Wide Variety of Recipes
    The platform has a vast database of recipes from various cuisines and dietary needs, providing plenty of options for users.
  • Smart Shopping List
    Yummly enables users to create smart shopping lists directly from recipes, helping to simplify the grocery shopping process.
  • Integration with Grocery Delivery Services
    Yummly integrates with grocery delivery services, allowing users to order ingredients directly through the app.
  • Nutritional Information
    Each recipe includes detailed nutritional information, which can be helpful for users who are monitoring their diet.
  • User-Friendly Interface
    The app has a clean, intuitive design that makes it easy to navigate and use.

Possible disadvantages

  • Subscription Cost
    Some features, such as advanced meal planning tools, are only available with a paid subscription, limiting access for free users.
  • Inaccurate Recipe Times
    Some users have reported that the cooking times listed on recipes can be inaccurate, causing potential issues during meal preparation.
  • Limited Offline Access
    The app requires an internet connection to access most features, which can be inconvenient for users without reliable connectivity.
  • Advertising
    While using the free version, users may encounter advertisements that can interrupt the browsing experience.
  • Variable Recipe Quality
    The quality of user-uploaded recipes can vary, which may affect the outcome of some meals.
  • Privacy Concerns
    Some users may have concerns about the amount of personal data the app collects to provide personalized recommendations.

Analysis

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

mlsql
Yummly

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

Overall verdict

  • Yes, Yummly is generally considered good for those seeking a comprehensive recipe and meal planning platform.

Why this product is good

  • Yummly offers a vast collection of recipes from various cuisines, contributed by both amateur and professional cooks.
  • The platform includes personalized recommendations, taking into consideration users' dietary preferences and restrictions.
  • Yummly provides detailed nutritional information for its recipes, which can be useful for health-conscious individuals.
  • Its user-friendly interface makes it easy to search and save favorite recipes, as well as create grocery lists.
  • The app's smart shopping list feature helps users efficiently plan their meals and buy ingredients.

Recommended for

  • Home cooks looking for new recipes to try.
  • People with dietary restrictions who need to filter recipes accordingly.
  • Individuals interested in meal planning and organized grocery shopping.
  • Anyone seeking to explore diverse culinary traditions and styles.

Videos

Walkthroughs and reviews on video.

mlsql 0 videos + Add
Yummly 2 videos + Add

No mlsql videos yet. You could help us improve this page by suggesting one.

Best Cooking App || Yummly Review || 2019 || For iPhone and Android

More videos

  • - Yummly App For all Food Lovers: Review and Tutorial

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
Yummly
100% 100%
Web App
0% 0%
0% 0%
Recipes
100% 100%
100% 100%
LMS
0% 0%
0% 0%
Cooking
100% 100%

User comments

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

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Reviews and articles

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

mlsql no reviews yet
Yummly no reviews yet

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.

mlsql 2 mentions
Yummly 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 Yummly since Mar 2021.

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