Software Alternatives, Accelerators & Startups

fatsecret VS Scikit-learn

Compare fatsecret VS Scikit-learn and see what are their differences

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fatsecret logo fatsecret

Individualized and sustainable weight loss.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • fatsecret fatsecret home
    fatsecret home //
    2025-09-10

At fatsecret we empower anyone to reach their desired weight through individualized and sustainable weight loss, because we envision a world where everyone can achieve their weight loss goals, leading to better health and happiness.

We support a community of more than 100 million enthusiastic members with the highest quality food and nutrition tracking tools that reduce effort and create lasting healthy habits for sustainable weight loss.

Our free iOS and Android mobile apps and websites let you track your food, exercise and weight as well as engage with a supportive community. The fatsecret community enjoys access to the largest verified database of food and nutrition information globally covering all generic foods, branded products and restaurant items.

fatsecret also operates the fatsecret Platform which includes the fatsecret Platform API and fatsecret Brand Tools. With more than 50,000 developers utilizing the service, the fatsecret Platform API is the largest provider of verified accurate food and nutrition data to health related mobile apps/web services and integrated fitness devices, available in 26 languages for more than 50 markets.

  • Scikit-learn Landing page
    Landing page //
    2022-05-06

fatsecret

$ Details
freemium $9.99 / Monthly
Platforms
Web iOS Android REST API
Release Date
2006 September
Startup details
Country
Australia

fatsecret features and specs

  • Weight Loss
  • Calorie Counter
  • Diet Tracker
  • Community

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Analysis of fatsecret

Overall verdict

  • FatSecret is generally considered a good resource for those seeking a free and user-friendly way to monitor their diet and fitness journey. Its extensive food database and additional features like community support make it a valuable tool for many users.

Why this product is good

  • FatSecret is a popular nutrition and diet tracking tool that provides users with a comprehensive database of foods, including nutritional information and calorie counts. It allows users to track their meals, exercise, and weight loss progress. The app also features a community forum and provides access to healthy recipes and diet tips, which can be helpful for individuals looking to maintain or lose weight.

Recommended for

    FatSecret is recommended for individuals who want a simple yet effective app to track their calorie intake, monitor their weight loss or maintenance goals, and engage with a community of like-minded individuals. It is particularly useful for those on a budget, as the app's basic version is free.

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

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Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to fatsecret and Scikit-learn)
Health And Fitness
100 100%
0% 0
Data Science And Machine Learning
Nutrition
100 100%
0% 0
Data Science Tools
0 0%
100% 100

Questions & Answers

As answered by people managing fatsecret and Scikit-learn.

What makes your product unique?

fatsecret's answer

fatsecret is defined by its global scale and data integrity. Unlike many platforms that rely solely on unverified user-generated content, fatsecret provides a highly curated, verified global food and nutrition database covering 56 countries and 24 languages. Our consumer app empowers millions of users to lose weight, while our professional-grade Platform API serves as the nutritional backbone for global tech giants. This ensures that whether a user is tracking a meal in Melbourne or a developer is building a health app in San Francisco, they are accessing the most accurate, localized and comprehensive data available.

Why should a person choose your product over its competitors?

fatsecret's answer

Users and businesses choose fatsecret for its uncompromising transparency and accessibility.

For Consumers: We offer a completely free, high-quality core weight loss experience including a barcode scanner, comprehensive macro tracking and an engaged community - without the aggressive paywalls common in the industry.

For Developers: We provide a "no lock-in" contract and a white-label API that is arguably the most flexible and easy to integrate in the market. Choosing fatsecret means choosing a partner that prioritizes data accuracy and user success over short-term monetization.

How would you describe the primary audience of your product?

fatsecret's answer

fatsecret serves a diverse, global audience:

Health-Conscious Individuals: People seeking a personalized, easy-to-use tool for sustainable weight loss and nutrition management.

The Developer Ecosystem: Over 35,000 developers and startups who require high-quality, localized nutrition data to power their own innovative health, fitness and medical applications.

Enterprise Leaders: Global corporations in the technology, insurance, and healthcare sectors (such as Google/fitbit, Samsung and Abbott) that integrate our data into their wearable devices and wellness platforms.

What's the story behind your product?

fatsecret's answer

Founded in 2006 in Melbourne, Australia, fatsecret began with a simple mission: to empower people to achieve their ideal weight through individualized and sustainable nutrition. Over the last ~20 years, we have evolved from a social network for dieting into the worldโ€™s leading provider of verified food and nutrition data to the leading consumer weight loss solution, now even expanding into medically supported weight loss through the fatsecret Clinic.

Which are the primary technologies used for building your product?

fatsecret's answer

The fatsecret platform is an API-first ecosystem designed for high-concurrency and global reliability. Our core infrastructure handles millions of API calls per month, utilizing:

  • Scalable REST APIs: Delivering JSON-formatted data with localized support.
  • Enterprise-Grade Security: Implementing robust OAuth protocols and role-based authentication to ensure data integrity for our global brand partners.
  • Advanced Image Recognition: Proprietary AI/ML models for automated food detection and portion estimation.

Who are some of the biggest customers of your product?

fatsecret's answer

Our Platform API is trusted by some of the most influential companies in the world to power their health and wellness offerings. Customers include:

  • Technology Giants: Samsung and Google (Fitbit).
  • Healthcare & Med-Tech: Lingo, LifeScan, Welldoc and Hims & Hers.
  • Global Brands: Nestlรฉ and Betty Bossi.
  • Innovative Apps: Bending Spoons, Health2Sync and CalAI.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare fatsecret and Scikit-learn

fatsecret Reviews

Top Alternatives to MyFitnessPal
FatSecret provides basic calorie counting and community support in a simple, easy-to-use app. It is free and offers basic tracking capabilities including a food diary, exercise log, and weight chart. While it is user-friendly and offers community support, it lacks advanced features and has a less detailed food database compared to other apps, which may limit its usefulness...
Source: calsnaps.com
10 Best MyFitnessPal Alternatives
As we speak, there are multiple options that bear a striking resemblance to MyFitnessPal as tools for tracking our diet, workouts, and general health. The selection process is pretty specific too; it could be an all-inclusive weight loss application such as Noom or simply calorie counting tools like FatSecret. Thus, everyone can have a solution at hand when they need one.
The 8 Best Calorie Counter Apps
FatSecret also offers a monthly summary view, which displays total calories consumed each day and averages for each month. This feature may be convenient for tracking your overall progress.

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than fatsecret. It has been mentiond 40 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

fatsecret mentions (6)

  • 100g of rice contains 27.9g of carbs, 2.66g of protein, 0.28 g of fat, and about 400 mg of everything else in terms of nutrition, where is the other 68.78g? Is it the amount of excretion we will produce?
    Data from fatsecret.com Source : https://www.fatsecret.com/calories-nutrition/generic/rice-white-cooked-regular?portionid=53181&portionamount=100.000. Source: almost 3 years ago
  • How to lose 10 pounds?
    I'm using fatsecret.com to track my calorie intake and used another site to figure out the macro ratios I should be eating. I eat healthy food anyways but after tracking it for a few weeks my macros were WAY off eating too many carbs and not enough protein. Just had to adjust the ratios of ingredients in what I was already making to even things out and to also bring the calorie count down. Made a pact with myself... Source: about 3 years ago
  • CMV: Eggs served in a restaurant should come properly salted unless otherwise requested by a customer.
    Should fatsecret.com be the one to determine standards for the amount of salt on eggs? I would think this ought to be up to the chef. Source: over 3 years ago
  • How do you plan your keto meals?
    I use fatsecret.com to plan my meals and track my carbs and calories. The rest of my household eat as far from keto as I can imagine, so I cook for myself. Using tips from the internet, I make up a menu and prepare everything the day before (I love to be organized!). I rarely use others' s recipes - I experiment with food combos that I think will work. I have a bent for math, so planning my meals became a... Source: over 3 years ago
  • Now that itโ€™s exam season, time to spend money for the next week on food to avoid cooking and maximize time to study. What are the best deals around campus with the best quality and quantity tradeoff?
    One large pizza has enough calories for an average males daily intake and the actually calorie count of the walk in special is most likely higher due to the additional toppings even if the pizza with just cheese were to be less calories than what fatsecret.com listed it as. Source: over 3 years ago
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Scikit-learn mentions (40)

  • Detecting Ingress Tool Transfer (T1105) with Python
    Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago
  • Best AI Cybersecurity Training for Security Teams: How to Pick
    Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
  • Where to Get Hands-On AI Training for Cybersecurity Professionals
    Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago
  • How Anomaly Detection Actually Works in Security Operations
    Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
  • Building a Personalized Meal Recommendation System
    In practice, youโ€™ll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 4 months ago
View more

What are some alternatives?

When comparing fatsecret and Scikit-learn, you can also consider the following products

MyFitnessPal - Track the number of calories that you consume each day with MyFitnessPal. The app also lets you create a diet and track the exercise that you complete each day whether it's walking, running or some other type of program.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Cronometer - A big trend in todayโ€™s world is health and fitness, particularly in recording nutritional information. There are several options available to achieve this result.

NumPy - NumPy is the fundamental package for scientific computing with Python

Lose it! - Snap a photo of your food to get nutritional facts

OpenCV - OpenCV is the world's biggest computer vision library