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GitHub Codespaces VS DeepPy

Compare GitHub Codespaces VS DeepPy and see what are their differences

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

GitHub Codespaces logo GitHub Codespaces

GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.

DeepPy logo DeepPy

DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.
  • GitHub Codespaces Landing page
    Landing page //
    2023-09-01
  • DeepPy Landing page
    Landing page //
    2019-06-12

GitHub Codespaces videos

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Brief introduction of GitHub Codespaces

More videos:

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

DeepPy videos

No DeepPy videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to GitHub Codespaces and DeepPy)

GitHub Codespaces

DeepPy

Text Editors
100 100%
Text Editors
0% 0
OCR
0 0%
OCR
100% 100
IDE
100 100%
IDE
0% 0
Machine Learning
0 0%
Machine Learning
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 GitHub Codespaces and DeepPy

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

DeepPy Reviews

We have no reviews of DeepPy yet.
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Social recommendations and mentions

Based on our record, GitHub Codespaces seems to be more popular. It has been mentiond 143 times since March 2021. 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.

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 / 3 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
View more

DeepPy mentions (0)

We have not tracked any mentions of DeepPy yet. Tracking of DeepPy recommendations started around Mar 2021.

What are some alternatives?

When comparing GitHub Codespaces and DeepPy, you can also consider the following products

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

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

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

TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

StackBlitz - Online VS Code Editor for Angular and React

Clarifai - The World's AI

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