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Amazon Machine Learning VS GitHub Codespaces

Compare Amazon Machine Learning VS GitHub Codespaces and see what are their differences

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  3. » Reviews
  4. » Alternatives

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level

GitHub Codespaces logo GitHub Codespaces

GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13
  • GitHub Codespaces Landing page
    Landing page //
    2023-09-01

Amazon Machine Learning videos

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Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

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

GitHub Codespaces videos

+ Add

Brief introduction of GitHub Codespaces

More videos:

  • Review - GitHub Codespaces First Look - 5 things to look for

Category Popularity

0-100% (relative to Amazon Machine Learning and GitHub Codespaces)

Amazon Machine Learning

GitHub Codespaces

AI
100 100%
AI
0% 0
Text Editors
0 0%
Text Editors
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
IDE
0 0%
IDE
100% 100

User comments

Share your experience with using Amazon Machine Learning and GitHub Codespaces. For example, how are they different and which one is better?
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Reviews

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

Amazon Machine Learning Reviews

We have no reviews of Amazon Machine Learning yet.
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GitHub Codespaces Reviews

12 Best Online IDE and Code Editors to Develop Web Applications
Beginners who want to try their luck can use GitHub Codespaces for free with limited benefits, but you will have enough features to carry on. If you are a team or an enterprise, you can start using GitHub Codespaces at $40/user/year.
Source: geekflare.com

Social recommendations and mentions

Based on our record, GitHub Codespaces seems to be a lot more popular than Amazon Machine Learning. While we know about 143 links to GitHub Codespaces, 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.

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: almost 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: over 3 years ago

GitHub Codespaces mentions (143)

  • From Text Editors to Cloud-based IDEs - a DevEx journey
    Then, we had the rise of the cloud and the arrival of cloud-based IDEs. The first cloud-based IDE was PHPanywhere (eventually becoming CodeAnywhere) in 2009, followed by Cloud9 in 2010 (before AWS bought it in 2016), Glitch (2018), GitPod (2019), GitHub Codespaces (2020), and Google’s Project IDX (2024). - Source: dev.to / 5 days ago
  • Mastering Code Quality: Setting Up ESLint with Standard JS in TypeScript Projects
    If your team is using a Cloud Development Environment such as GitHub Codespaces, or Dev Containers such as Docker, you can even share the installation of dbaeumer.vscode-eslint with your teammates, via devcontainer.json. - Source: dev.to / about 1 month ago
  • Coding on tab s9 ultra
    Https://github.com/features/codespaces Currently, it is probably the most convenient for coding on mobile devices. Source: 6 months ago
  • Learning Angular
    I am currently right now viewing Angular Essential Training (paid by my company but I have a personal Pluralsight) and using GitHub Codespaces for $4 a month to host the virtuals created for such coding/learning. Source: 6 months ago
  • Amazon CodeCatalyst - Is it ready for the enterprise?
    I’m very interested in recent advancements in cloud-hosted development environments. GitHub Codespaces is the option I have the most experience with and the one I use more generally. With cloud-hosted development environments, your local machine becomes more of a thin client that facilitates access to the internet and the development environment. That is a considerable step toward enabling better education in... - Source: dev.to / 6 months ago
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What are some alternatives?

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

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.

Lobe - Visual tool for building custom deep learning models

CloudShell - Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.

Apple Machine Learning Journal - A blog written by Apple engineers

StackBlitz - Online VS Code Editor for Angular and React

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