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VS Code VS AWS DeepLens

Compare VS Code VS AWS DeepLens and see what are their differences

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VS Code logo VS Code

Build and debug modern web and cloud applications, by Microsoft

AWS DeepLens logo AWS DeepLens

Deep learning enabled video camera for developers
  • VS Code Landing page
    Landing page //
    2024-10-09
  • AWS DeepLens Landing page
    Landing page //
    2023-03-20

VS Code features and specs

  • Cross-platform
    VS Code works on Windows, macOS, and Linux, providing a consistent development experience across different operating systems.
  • Extensibility
    A vast library of extensions allows users to add functionalities like debuggers, linters, and themes, making it highly customizable.
  • Integrated Git
    Built-in Git integration makes it easy to manage version control tasks directly within the editor.
  • Performance
    Lightweight compared to full-fledged IDEs, ensuring good performance even on systems with limited resources.
  • IntelliSense
    Advanced code completion and refactoring tools help improve coding efficiency and reduce errors.
  • Community Support
    A strong and active community provides extensive support, tutorials, and third-party extensions.
  • Debugging
    Robust debugging tools for various languages and frameworks are available out of the box.
  • Free and Open-Source
    VS Code is completely free to use and open-source, which is beneficial for both individual developers and organizations.

Possible disadvantages of VS Code

  • Limited IDE Features
    While extensible, it may lack some advanced features found in dedicated IDEs out of the box.
  • Extension Management
    Managing and configuring a large number of extensions can become cumbersome and sometimes lead to performance issues.
  • Learning Curve
    Although user-friendly, it has a steeper learning curve for beginners due to its numerous features and customization options.
  • Memory Usage
    Despite being lightweight, it can consume a significant amount of memory when multiple extensions are installed.
  • Update Frequency
    Frequent updates may sometimes introduce bugs or require users to adapt to new changes quickly.
  • Internet Dependency
    Some features and extensions may require an internet connection to function optimally.
  • Telemetry
    By default, VS Code collects usage data, which might be a concern for users sensitive about data privacy. However, this can be disabled.

AWS DeepLens features and specs

  • Ease of Use
    AWS DeepLens is designed to be user-friendly, especially for developers who may not have extensive expertise in machine learning. It provides sample projects and comes integrated with AWS services, making it easier to develop and deploy deep learning models.
  • Integration with AWS Ecosystem
    DeepLens is tightly integrated with the AWS ecosystem, allowing easy use of other AWS services such as AWS Lambda, Amazon S3, and Amazon SageMaker to enhance functionality, manage datasets, and deploy models.
  • Real-time Computer Vision
    AWS DeepLens is capable of processing data in real-time with on-device computing. This can be beneficial for applications that require immediate analysis without reliance on network connectivity.
  • Educational Tool
    DeepLens serves as a powerful educational tool that enables developers to understand and experiment with deep learning and computer vision concepts in a practical context.

Possible disadvantages of AWS DeepLens

  • Limited Hardware
    The hardware capacity of AWS DeepLens can be a limitation when compared to more powerful devices, which may restrict the complexity and scale of models that can be run on the edge device.
  • Cost
    While AWS DeepLens offers powerful features, it may be considered costly for some users, especially when compared to other edge devices which offer similar functionalities.
  • Steep Learning Curve for Complex Models
    Even though it is user-friendly for beginners, implementing complex deep learning models with AWS DeepLens may require significant expertise and a learning curve to optimize performance properly.
  • Dependence on AWS
    While integration with AWS services is an advantage, it also means that users become dependent on AWS for various functionalities, which may not be ideal for those wanting to avoid vendor lock-in.

Analysis of VS Code

Overall verdict

  • Yes, VS Code is generally considered a good choice for developers due to its flexibility, efficiency, and strong community support. It is lightweight, fast, and user-friendly, catering to both novice and experienced developers.

Why this product is good

  • VS Code, developed by Microsoft, is a widely popular and versatile code editor. It offers a robust extension ecosystem, which allows developers to customize their workflow and coding environment extensively. Additionally, VS Code supports numerous programming languages right out of the box and provides features like IntelliSense, debugging, Git integration, and a built-in terminal, making it a powerful tool for developers.

Recommended for

  • Web developers looking for a comprehensive yet lightweight coding environment.
  • Software developers who need an editor with extensive language support and customization options.
  • Beginner programmers who would benefit from a feature-rich editor that can grow with their skills.
  • Developers interested in an open-source tool with continuous updates and community-driven enhancements.

VS Code videos

+ Add

My New Favorite Text Editor - Visual Studio Code

More videos:

  • Review - 7 reasons why I switched to Visual Studio Code from Sublime Text

AWS DeepLens videos

+ Add

AWS DeepLens Powered Cat Flap

More videos:

  • Review - Using AWS DeepLens to Detect Vehicle Type
  • Review - AWS re:Invent 2017 - Announcing AWS DeepLens

Category Popularity

0-100% (relative to VS Code and AWS DeepLens)

VS Code

AWS DeepLens

Text Editors
100 100%
Text Editors
0% 0
AI
0 0%
AI
100% 100
IDE
100 100%
IDE
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using VS Code and AWS DeepLens. 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 VS Code and AWS DeepLens

VS Code Reviews

  1. dksinden
    · Working at SpeechKit ·
Boost Your Productivity with These Top Text Editors and IDEs
Visual Studio Code, commonly known as VS Code, is a powerful and extensible code editor developed by Microsoft. With its rich ecosystem of extensions and features like IntelliSense, debugging, and Git integration, VS Code enhances your coding productivity.
Source: convesio.com
13 Best Text Editors to Speed up Your Workflow
Finally, the Visual Studio Code website has numerous tabs for you to learn about the software. The documentation page walks you through steps like the setup and working with different languages. You’re also able to check out some tips and tricks and learn all of the Visual Studio Code keyboard shortcuts. Along with a blog, updates page, extensions library and API...
Source: kinsta.com
Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Previously, VS Code was more suited to developers or engineers due to its lack of data analysis capabilities, but since 2020, the VS Code team has collaborated with the Jupyter team to create an integrated notebook within VS Code. The end result is a fantastic IDE workbook for data analysis.
Source: lakefs.io
The Best IDEs for Java Development: A Comparative Analysis
Overview: Although not a traditional IDE, VS Code has gained popularity as a lightweight code editor.
Source: dev.to
20 Best Diff Tools to Compare File Contents on Linux
Visual studio code is a code editor made by Microsoft. It supports several development operations like debugging, task running, and version control. It works on Linux, macOS and Windows operating systems.
Source: linuxopsys.com

AWS DeepLens Reviews

We have no reviews of AWS DeepLens yet.
Be the first one to post

Social recommendations and mentions

Based on our record, VS Code seems to be a lot more popular than AWS DeepLens. While we know about 1148 links to VS Code, we've tracked only 5 mentions of AWS DeepLens. 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.

VS Code mentions (1148)

  • 7 Ways AI Code Review Can Save Hours of Developers' Effort
    Put simply, by automating routine checks, AI reviewers help engineers avoid tens of hours of minor fixes and rewrites. As per my experience, AI code review exemplify this shift: catching issues on the spot in VS Code, they keep developers focused on building features rather than waiting for post-hoc feedback. Against this backdrop, let’s explore the main advantages of AI-powered code review for enterprise teams. - Source: dev.to / 3 days ago
  • Build and Deploy a Real Time ML System
    VSCode to open the repository, or any other IDE that supports devcontainers. - Source: dev.to / 4 days ago
  • What Are the Best Code Editors for Collaborative Coding?
    Visual Studio Code is a highly popular, lightweight, and versatile code editor. Its Live Share extension transforms it into a powerful collaborative tool. With Live Share, developers can co-edit and co-debug codes in real-time, making it easier to handle complex projects together. It offers:. - Source: dev.to / 21 days ago
  • Before the Code: Why I Chose Web Development and How I Got Started
    Built-in terminal (you’ll love this later) Download it here. - Source: dev.to / 23 days ago
  • #The Chronicles of Sam: 10,000 Hours to Say “Hi” Automatically 💬
    Somewhere between enabling CORS and accidentally enabling IAM authentication, Sam backed out slowly and did what all developers eventually do when faced with AWS UI: They closed the tab and opened [VSCode 🖥️].(https://code.visualstudio.com/). - Source: dev.to / 28 days ago
View more

AWS DeepLens mentions (5)

  • Beginning the Journey into ML, AI and GenAI on AWS
    AWS provides various services for Machine Learning and Artificial Intelligence, including Amazon SageMaker, AWS DeepLens, AWS DeepComposer, Amazon Forecast and more. Familiarize yourself with the services available to determine which ones suit your specific needs. - Source: dev.to / over 1 year ago
  • Smart Vision? I actually want to try this out.
    Take a look at AWS deeplens. You might be able to make something work out of it. https://aws.amazon.com/deeplens/. Source: over 2 years ago
  • Getting Started Machine Learning with AWS
    AWS DeepLens - Deep learning enabled video camera for developers - AWS (amazon.com). - Source: dev.to / about 3 years ago
  • Im trying to self teach myself as a hobby but getting overwhelmed with where to start.
    So Amazon has this thing called Deep Lens. Https://aws.amazon.com/deeplens/ Basically, it's a really dinky computer with all the things needed to do Machine Learning with image recognition. It comes with several projects that all are about how to program it, and how to run machine learning enabled image recognition projects (including 'Hotdog-Not A Hotdog'!). It's an expense, but it would enable what you're... Source: over 3 years ago
  • AWS Machine Learning Tools in 2021
    AWS DeepLens is a hardware offering from AWS. It comes with a fully programmable camera you can use to train Machine Learning models for your specific task. Tutorials and guides also accompany this to get started right away. - Source: dev.to / over 4 years ago

What are some alternatives?

When comparing VS Code and AWS DeepLens, you can also consider the following products

Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

Lobe - Visual tool for building custom deep learning models

Vim - Highly configurable text editor built to enable efficient text editing

Deep Learning Gallery - A curated list of awesome deep learning projects

Notepad++ - A free source code editor which supports several programming languages running under the MS Windows environment.

Deep learning chat - Chatting with a deep learning chatbot

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