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Scratch VS Keras

Compare Scratch VS Keras and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Scratch logo Scratch

Scratch is the programming language & online community where young people create stories, games, & animations.

Keras logo Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
  • Scratch Landing page
    Landing page //
    2021-10-17
  • Keras Landing page
    Landing page //
    2023-10-16

Scratch features and specs

  • Engaging Interface
    Scratch offers a visually appealing and user-friendly interface that makes it accessible for kids and beginners to learn programming concepts.
  • Community Support
    The platform has a large and active community where users can share projects, get feedback, and collaborate with others, fostering a sense of community and support.
  • Educational Value
    Scratch is designed with a strong pedagogical foundation, helping users to develop problem-solving skills, logical thinking, and creativity.
  • Drag-and-Drop Programming
    The block-based coding in Scratch eliminates syntax errors and simplifies the process of learning programming logic, making it ideal for beginners.
  • Free to Use
    Scratch is completely free to use, which makes it accessible to a wide audience without any financial barriers.
  • Portable
    Being web-based, Scratch can be accessed from any device with an internet connection, providing ease of access and flexibility.

Possible disadvantages of Scratch

  • Limited Advanced Capabilities
    Scratch is mainly designed for beginners and might not offer the depth or complexities needed for more advanced programming projects.
  • Performance Issues
    Larger projects can sometimes become slow or unresponsive, particularly on less powerful devices.
  • Simplified Programming
    The drag-and-drop nature of Scratch, while educational, might limit exposure to the syntax and intricacies of written programming languages.
  • Internet Dependency
    Scratch primarily requires an internet connection, which could be a limitation in areas with poor connectivity.
  • Age Focus
    The platform is highly targeted towards younger audiences, which might not be appealing or suitable for older learners or adults seeking beginner resources.
  • Privacy Concerns
    As with any online community, there are potential privacy and security risks, especially for younger users, which require careful monitoring and guidance.

Keras features and specs

  • User-Friendly
    Keras provides a simple and intuitive interface, making it easy for beginners to start building and training models without needing extensive experience in deep learning.
  • Modularity
    Keras follows a modular design, allowing users to easily plug in different neural network components, such as layers, activation functions, and optimizers, to create complex models.
  • Pre-trained Models
    Keras includes a wide range of pre-trained models and offers easy integration with transfer learning techniques, reducing the time required to achieve good results on new tasks.
  • Integration with TensorFlow
    As part of TensorFlow’s ecosystem, Keras provides deep integration with TensorFlow functionalities, enabling users to leverage TensorFlow's powerful features and performance optimizations.
  • Extensive Documentation
    Keras has comprehensive and well-organized documentation, along with numerous tutorials and code examples, making it easier for developers to learn and use the framework.
  • Community Support
    Keras benefits from a large and active community, which provides support through forums, GitHub, and specialized user groups, facilitating the resolution of issues and sharing of best practices.

Possible disadvantages of Keras

  • Performance Limitations
    Due to its high-level abstraction, Keras may incur performance overheads, making it less suitable for scenarios requiring extremely fast execution and low-level optimizations.
  • Limited Low-Level Control
    The simplicity and abstraction of Keras can be a downside for advanced users who need fine-grained control over model components and custom operations, which may require them to resort to lower-level frameworks.
  • Scalability Issues
    In some complex applications and large-scale deployments, Keras might face scalability challenges, where more specialized or low-level frameworks could handle such tasks more efficiently.
  • Dependency on TensorFlow
    While the integration with TensorFlow is generally an advantage, it also means that the performance and features of Keras are closely tied to the development and updates of TensorFlow.
  • Lagging Behind Latest Research
    Keras, being a user-friendly high-level API, might not always incorporate the latest cutting-edge research advancements in deep learning as quickly as more research-oriented frameworks.

Scratch videos

+ Add

Scratch 3.0 Review: My Thoughts About Scratch 3.0

More videos:

  • Review - Numark PT01 Scratch Review
  • Review - Meguiar's scratch X 2.0 review

Keras videos

+ Add

3. Deep Learning Tutorial (Tensorflow2.0, Keras & Python) - Movie Review Classification

More videos:

  • Review - Movie Review Classifier in Keras | Deep Learning | Binary Classifier
  • Review - EKOR KERAS!! Review and Bike Check DARTMOOR HORNET 2018 // MTB Indonesia

Category Popularity

0-100% (relative to Scratch and Keras)

Scratch

Keras

Kids Education
100 100%
Kids Education
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Game Development
100 100%
Game Development
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scratch and Keras

Scratch Reviews

  1. Pratham shah
    · nothing at none ·
    TOO GOOD

    It is just awesome. you can make so many things WITHOUT A TEAM! If you are starting then this is an awesome place to start at.

    🏁 Competitors: Python, Java, Code.org
    👍 Pros:    Good UI|Remix|Works perfectly|100% free|Many, many languages
Top 15 educational software to streamline the learning process
Scratch lets students create interactive stories, games, and animations. The coding projects allow students to experiment and express their ideas, developing 21st-century skills like computational thinking and creativity. Scratch introduces students to programming, STEM and digital literacy in a fun way.
Source: www.lookdigitalsignage.com
16 Scratch Alternatives
It can even permit anyone to access its junior program through which kids can learn how to make any app by taking their focus on the study related to programming. Scratch also comes with facilitating users with the permission to mix all the programming blocks so that they can create multiple characters for singing, jumping, dancing, moving, and more.
Source: www.justalternativeto.com
Coding Websites That Help Kids Learn Programming In A Fun Way in 2023
Scratch, created by MIT students, teaches coding by allowing students to create tales, games, and animations using programming blocks. There is a vibrant online community as well as a step-by-step tutorial to assist those who are just getting started. Students can also use an offline editor to revise their work. ScratchJr, a simplified version of the software, is targeted at...
Source: www.jetlearn.com
20 Best Scratch Alternatives 2023
Unlike Scratch, Snap targets not only kids but also high school and college students. The platform provides a solution for serious computer science study, while Scratch focuses on just the basics.
Source: rigorousthemes.com

Keras Reviews

10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
15 data science tools to consider using in 2021
Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Scratch seems to be a lot more popular than Keras. While we know about 569 links to Scratch, we've tracked only 35 mentions of Keras. 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.

Scratch mentions (569)

  • TikTok Is Harming Children at an Industrial Scale
    I anticipate my kid needing to live in a word with capitalism, it doesn't ncessarily mean that they need a Mastercard at 4 years old. Same with many other things: condoms, keys to a car, access to alcohol. There is a time for everything, and at the age of 4, a young human probably has not yet maxxed out on analog stimuli opportunities. I learned YouTube when it came out in 2006 and I was 21. I've got 19 years of... - Source: Hacker News / about 1 month ago
  • How I Got Started in IT: My Journey to Becoming an Apprentice Support Engineer 🚀
    I've always been fascinated by the technology. I spent many hors playing video games and the first dive into the world of development was when I had to code a game on Scratch. The excercise looked pretty easy: Create a Tamagotchi-like game. Let me tell you - It wasn't easy at all for someone of a young age! There were many things that I needed to pay attention to: Things I have never heard of before! - Source: dev.to / 6 months ago
  • Principles of Educational Programming Language Design
    I would be surprised if your first program was C++? Specifically, getting a decent C++ toolchain that can produce a meaningful program is not a small thing? I'm not sure where I feel about languages made for teaching and whatnot, yet; but I would be remiss if I didn't encourage my kids to use https://scratch.mit.edu/ for their early programming. I remember early computers would boot into a BASIC prompt and I... - Source: Hacker News / 5 months ago
  • There is no such thing as a global method (in Ruby)
    I've been teaching a teenager how to code with smalltalk (Scratch): https://scratch.mit.edu/. - Source: Hacker News / 7 months ago
  • Ask HN: Platform for 11 year old to create video games?
    A good place to start with kids that age is Scratch: https://scratch.mit.edu/. - Source: Hacker News / 8 months ago
View more

Keras mentions (35)

  • Top Programming Languages for AI Development in 2025
    The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / 22 days ago
  • Top 8 OpenSource Tools for AI Startups
    If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and running—an essential part of the startup hustle. - Source: dev.to / 7 months ago
  • Top 5 Production-Ready Open Source AI Libraries for Engineering Teams
    At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / 8 months ago
  • Using Google Magika to build an AI-powered file type detector
    The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 11 months ago
  • My Favorite DevTools to Build AI/ML Applications!
    As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing Scratch and Keras, you can also consider the following products

Godot Engine - Feature-packed 2D and 3D open source game engine.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Code.org - Code.org is a non-profit whose goal is to expose all students to computer programming.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

GDevelop - GDevelop is an open-source game making software designed to be used by everyone.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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