Software Alternatives, Accelerators & Startups

VS Code VS Activeloop

Compare VS Code VS Activeloop 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

Activeloop logo Activeloop

Data lake for machine and deep learning. The fastest dataset management tool for computer vision.
  • VS Code Landing page
    Landing page //
    2024-10-09
  • Activeloop Landing page
    Landing page //
    2021-09-20

About

Activeloop provides an optimized format for unstructured data, so users can stream their machine learning datasets while training ML models in PyTorch and TensorFlow. Activeloop acts as a data lake for deep learning on unstructured data and offers in-browser dataset visualization, querying, and version control. On top of those features, Activeloop integrates with experimentation and labeling tools to allow rapid iteration on computer vision datasets.

Activeloop supports the following use cases:

Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:

  1. AgriTech
  2. Audio processing
  3. Autonomous Vehicles & Robotics
  4. Biomedical and Healthcare ML
  5. Multimedia: Image enhancement, video enhancement, face detection, sports analytics, or machine learning for AR/VR
  6. Safety & Security: surveillance machine learning with biometrics, facial recognition, or crowd counting

VS Code

Pricing URL
-
$ Details
Platforms
-
Release Date
-
Startup details
Country
United States

Activeloop

$ Details
$450.0 / Monthly (Growth Plan for up to 10 users)
Platforms
AWS GCP Python
Release Date
2019 July

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.

Activeloop features and specs

No features have been listed yet.

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.

Analysis of Activeloop

Overall verdict

  • Activeloop is a solid choice for teams working with large-scale AI/ML datasets, particularly those involving unstructured data like images, video, and audio, offering a specialized data infrastructure (Deep Lake) that streamlines dataset versioning, storage, and streaming for machine learning workflows.

Why this product is good

  • Deep Lake format enables efficient storage and streaming of large unstructured datasets directly to ML training pipelines without full downloads
  • Built-in version control for datasets, similar to Git, making it easier to track changes and collaborate on data
  • Native integrations with popular ML frameworks like PyTorch and TensorFlow, plus support for vector search and LLM-based applications
  • Cloud-agnostic storage options allowing flexibility across AWS, GCP, and other providers
  • Strong focus on performance optimization for data loading, reducing bottlenecks in training large models
  • Growing ecosystem with support for multimodal data types, useful for computer vision and generative AI projects

Recommended for

  • ML engineers and data scientists working with large-scale image, video, or audio datasets
  • Teams building computer vision or multimodal AI applications
  • Organizations needing dataset version control integrated into their ML pipeline
  • Developers building retrieval-augmented generation (RAG) or LLM applications requiring vector storage
  • Startups and enterprises looking to optimize data loading performance for deep learning training
  • Teams seeking an alternative to traditional data lakes for AI-specific workloads

VS Code videos

My New Favorite Text Editor - Visual Studio Code

More videos:

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

Activeloop videos

Activeloop Product Demo Video

Category Popularity

0-100% (relative to VS Code and Activeloop)
Text Editors
100 100%
0% 0
Machine Learning
0 0%
100% 100
IDE
100 100%
0% 0
Data Science Tools
0 0%
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 VS Code and Activeloop

VS Code Reviews

  1. dksinden
    ยท Working at SpeechKit ยท

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. Youโ€™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

Activeloop Reviews

We have no reviews of Activeloop 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 Activeloop. While we know about 1215 links to VS Code, we've tracked only 4 mentions of Activeloop. 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 (1215)

  • History of JavaScript: Browser wars, ECMAScript, Node.js, TypeScript, and React
    Visual Studio Code, a code editor created by Microsoft, was first introduced on April 29, 2015, at the Build conference. - Source: dev.to / 7 days ago
  • How to Get Your First Tool Online
    The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / 22 days ago
  • Agentic Engineering: What Does AI Coding Really Cost?
    For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / about 1 month ago
  • Best Markdown Editors for Developers
    Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / about 2 months ago
  • Document Generation for Developers: Security, Compliance, and Build-vs-Buy Decisions for the Template-Plus-Data Pipeline
    You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / about 2 months ago
View more

Activeloop mentions (4)

  • [P] I built a Chatbot to talk with any Github Repo. ๐Ÿช„
    This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input. Source: about 3 years ago
  • [D] NLP has HuggingFace, what does Computer Vision have?
    u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :). Source: about 4 years ago
  • [P] Database for AI: Visualize, version-control & explore image, video and audio datasets
    Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know! Source: over 4 years ago
  • [P] Database for AI: Visualize, version-control & explore image, video and audio datasets
    I'm Davit from Activeloop (activeloop.ai). Source: over 4 years ago

What are some alternatives?

When comparing VS Code and Activeloop, 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.

Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

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

Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.

Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications

Scale - Get human tasks done with just one line of code.