Software Alternatives, Accelerators & Startups

CodeSandbox VS Amazon Machine Learning

Compare CodeSandbox VS Amazon Machine Learning and see what are their differences

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.

CodeSandbox logo CodeSandbox

Online playground for React

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • CodeSandbox Landing page
    Landing page //
    2023-07-27
  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

CodeSandbox

$ Details
Release Date
2017 January
Startup details
Country
The Netherlands
City
Amsterdam
Founder(s)
Bas Buursma
Employees
1 - 9

CodeSandbox features and specs

  • Ease of Use
    CodeSandbox offers an intuitive interface that allows developers to quickly start coding without the need for complex setup or configuration.
  • Instant Collaboration
    The platform supports real-time collaboration, enabling multiple developers to work on the same project simultaneously.
  • Pre-configured Environments
    It provides a variety of pre-configured templates for popular frameworks like React, Vue, and Angular, which saves time on setting up development environments.
  • Integrated Development
    CodeSandbox includes built-in terminal access and npm/yarn package management, making it possible to manage dependencies directly within the editor.
  • Live Previews
    Code changes are instantly compiled and displayed, providing immediate feedback with live previews of the application.
  • GitHub Integration
    Seamless integration with GitHub allows importing and exporting repositories, making it easier to manage version control and workflows.
  • Accessibility
    Being a web-based IDE, CodeSandbox can be accessed from any device with an internet connection, enhancing flexibility and mobility.

Possible disadvantages of CodeSandbox

  • Performance Issues
    Some users experience lag and slower performance, particularly with larger projects, compared to local development environments.
  • Limited Customization
    While convenient, the pre-configured environments might limit advanced customization options available in local IDEs.
  • Dependency on Internet
    As an online platform, a stable internet connection is required to use CodeSandbox effectively, which could be a limitation in areas with poor connectivity.
  • Free Tier Limitations
    The free version comes with certain restrictions on resources and functionality, which might not be sufficient for larger or more complex projects.
  • Security Concerns
    Storing code in an online platform can raise security concerns, especially for sensitive or proprietary projects.
  • Learning Curve
    Despite its ease of use, developers new to online IDEs might face a learning curve in adapting from traditional, local development environments.

Amazon Machine Learning features and specs

  • Scalability
    Amazon Machine Learning can handle increased workloads easily without significant changes in the infrastructure, making it ideal for growing businesses.
  • Integration with AWS
    Seamlessly integrates with other AWS services like S3, EC2, and Lambda, simplifying data storage, processing, and deployment.
  • Ease of Use
    User-friendly AWS Management Console and APIs make it easier for developers to build, train, and deploy machine learning models without needing deep ML expertise.
  • Performance
    Offers high-performance computing capabilities that can accelerate the training and inference processes for machine learning models.
  • Cost-Effective
    Pay-as-you-go pricing model ensures that you only pay for what you use, making it a cost-effective solution for various ML needs.
  • Prebuilt AI Services
    Provides prebuilt, ready-to-use AI services like Amazon Rekognition, Amazon Comprehend, and Amazon Polly, which simplify the implementation of complex ML solutions.

Possible disadvantages of Amazon Machine Learning

  • Complexity
    While the service is designed to be user-friendly, the underlying complexity of Machine Learning algorithms and models can be a barrier for novice users.
  • Vendor Lock-In
    Using Amazon Machine Learning extensively may lead to dependency on AWS services, making it difficult to switch providers or integrate with non-AWS services in the future.
  • Cost Management
    Although pay-as-you-go is cost-effective, if not managed properly, costs can quickly escalate especially with extensive use and large-scale data processing.
  • Limited Customization
    Prebuilt models and services may lack the level of customization needed for highly specialized use-cases requiring unique algorithms or configurations.
  • Data Privacy
    Storing and processing sensitive data on an external service may raise concerns regarding data privacy and compliance with data protection regulations.
  • Learning Curve
    Despite its ease of use, there is still a learning curve associated with mastering the AWS ecosystem and effectively utilizing its machine learning capabilities.

CodeSandbox videos

A browser IDE that's actually GOOD? (CodeSandbox.io Review!)

More videos:

Amazon Machine Learning videos

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Category Popularity

0-100% (relative to CodeSandbox and Amazon Machine Learning)
Text Editors
100 100%
0% 0
AI
0 0%
100% 100
Programming
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

Share your experience with using CodeSandbox and Amazon Machine Learning. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare CodeSandbox and Amazon Machine Learning

CodeSandbox Reviews

8 Best Replit Alternatives & Competitors in 2022 (Free & Paid) - Software Discover
Codesandbox is an online code editor and prototyping tool that makes creating and sharing web apps faster. Codesandbox: Online code editor and ide for rapid web development.
12 Best Online IDE and Code Editors to Develop Web Applications
CodeSandbox can be thought of as a much more powerful and complete take on JSFiddle. True to its name, CodeSandbox provides a complete code editor experience and a sandboxed environment for front-end development.
Source: geekflare.com

Amazon Machine Learning Reviews

We have no reviews of Amazon Machine Learning yet.
Be the first one to post

Social recommendations and mentions

Based on our record, CodeSandbox seems to be a lot more popular than Amazon Machine Learning. While we know about 310 links to CodeSandbox, we've tracked only 2 mentions of Amazon Machine Learning. 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.

CodeSandbox mentions (310)

  • How To Install Shadcn UI In React JS
    CodeSandbox Examples: Check out CodeSandbox for live projects using Shadcn UI. It’s a great way to see the toolkit in action. - Source: dev.to / about 1 month ago
  • Thankful for CodeSandbox
    I am thankful for a platform like CodeSandbox because it allows me to offload majority of the processing power and memory resources to the cloud. With a local VS Code installed, I can tunnel in via a remote connection to work on my projects, tinker, or do a deep-dive on certain topics; all while ensuring that the RPi 4 still has sufficient resources left to run other things in the background. - Source: dev.to / about 2 months ago
  • Some useful .new "shortcut" domains
    To create a new React JS environment in CodeSandbox. Similar domains include js.new, vue.new, etc.,. - Source: dev.to / 3 months ago
  • Sonos CEO Patrick Spence steps down after app update debacle
    I have, it's called Visual Studio Code and I ditched my old native editor(s) for it. I'd even suggest that the fact that it's JS based has significantly changed the tech world because the editor itself will run in a browser so it's here https://godbolt.org/ , and here https://codesandbox.io, and here https://www.postman.com/, and here https://aws.amazon.com/pm/cloud9/ and 100s or 1000s of other sites. - Source: Hacker News / 4 months ago
  • React Native Online Compiler: Compare the Top 5 Platforms for Your Development Needs
    CodeSandbox for web-first collaborative projects. - Source: dev.to / 4 months ago
View more

Amazon Machine Learning mentions (2)

  • Rant + Planning to learn full stack development
    There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 2 years ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 4 years ago

What are some alternatives?

When comparing CodeSandbox and Amazon Machine Learning, you can also consider the following products

CodePen - A front end web development playground.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.

Apple Machine Learning Journal - A blog written by Apple engineers

JSFiddle - Test your JavaScript, CSS, HTML or CoffeeScript online with JSFiddle code editor.

Lobe - Visual tool for building custom deep learning models