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Jupyter VS AWS Cloud9

Compare Jupyter VS AWS Cloud9 and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
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Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

AWS Cloud9 logo AWS Cloud9

AWS Cloud9 is a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser.
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • AWS Cloud9 Landing page
    Landing page //
    2023-04-23

Jupyter features and specs

  • Interactive Computing
    Jupyter allows real-time interaction with the data and code, providing immediate feedback and making it easier to experiment and iterate.
  • Rich Media Output
    It supports output in various formats including HTML, images, videos, LaTeX, and more, enhancing the ability to visualize and interpret results.
  • Language Agnostic
    Jupyter supports multiple programming languages through its kernel system (e.g., Python, R, Julia), allowing flexibility in the choice of tools.
  • Collaborative Features
    It enables collaboration through shared notebooks, version control, and platform integrations like GitHub.
  • Educational Tool
    Jupyter is widely used for teaching, thanks to its easy-to-use interface and ability to combine narrative text with code, making it ideal for assignments and tutorials.
  • Extensibility
    Jupyter is highly extensible with a large ecosystem of plugins and extensions available for various functionalities.

Possible disadvantages of Jupyter

  • Performance Issues
    For larger datasets and more complex computations, Jupyter can be slower compared to running scripts directly in a dedicated IDE.
  • Version Control Challenges
    Managing version control for Jupyter notebooks can be cumbersome, as they are not plain text files and include metadata that can make diffing and merging complex.
  • Resource Intensive
    Running Jupyter notebooks can be resource-intensive, especially when working with multiple large notebooks simultaneously.
  • Security Concerns
    Because Jupyter allows code execution in the browser, it can be a potential security risk if notebooks from untrusted sources are run without restrictions.
  • Dependency Management
    Managing dependencies and ensuring that the notebook runs consistently across different environments can be challenging.
  • Less Suitable for Production
    Jupyter is often considered more as a research and educational tool rather than a production environment; transitioning from a notebook to production code can require significant refactoring.

AWS Cloud9 features and specs

  • Integrated Development Environment
    AWS Cloud9 provides a set of tools for coding, running, and debugging applications, making the development process more efficient.
  • Collaboration
    Real-time collaboration features enable multiple developers to work on the same project simultaneously, making teamwork easier.
  • Preconfigured Workspaces
    Preconfigured environments speed up the setup process, allowing developers to start coding immediately without worrying about configuration.
  • Serverless Development
    Supports serverless apps and provides seamless integration with AWS Lambda, helping developers build modern applications.
  • Remote Development
    Enables development from any location without the need for a powerful local machine, as the IDE runs in the cloud.
  • Cost Management
    Cloud9 uses pay-as-you-go pricing, potentially reducing costs compared to maintaining and upgrading local development environments.

Possible disadvantages of AWS Cloud9

  • Internet Dependency
    Requires an internet connection to access, which can be a limitation in areas with unstable or no internet access.
  • Resource Limitations
    Dependent on the allocated AWS resources, which may require scaling and can incur additional costs for high usage.
  • Latency Issues
    Potential latency issues could affect productivity, particularly when used over slower internet connections.
  • Learning Curve
    Users unfamiliar with cloud-based IDEs or the AWS ecosystem may require time to learn how to effectively use Cloud9.
  • Vendor Lock-In
    Being tightly integrated with AWS services, it may contribute to vendor lock-in, making it harder to switch to other cloud providers.
  • Cost Management Complexity
    The pay-as-you-go model can lead to unexpected costs if resource usage is not closely monitored and managed.

Jupyter videos

+ Add

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

AWS Cloud9 videos

+ Add

Introducing AWS Cloud9 - AWS Online Tech Talks

More videos:

  • Review - Introduction to AWS Cloud9

Category Popularity

0-100% (relative to Jupyter and AWS Cloud9)

Jupyter

AWS Cloud9

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

User comments

Share your experience with using Jupyter and AWS Cloud9. 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 Jupyter and AWS Cloud9

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Source: searchbusinessanalytics.techtarget.com
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.
Source: towardsdatascience.com

AWS Cloud9 Reviews

8 Best Replit Alternatives & Competitors in 2022 (Free & Paid) - Software Discover
AWS cloud9 is a cloud-based integrated development environment (Ide) That lets you write, run, and debug your code with just a browser. AWS cloud9 amazon web services.
Source: www.softwarediscover.com
Top 10 Visual Studio Alternatives
AWS Cloud9 is a cloud-based coordinated advancement system. It is a server that allows the users to type, initiate or operate and repair the code by only using the browser. It contains an editor program for code, error-removing system, and endpoint. Cloud9 has all the important tools for general programming languages, that includes,
Source: blog.back4app.com
12 Best Online IDE and Code Editors to Develop Web Applications
There are no additional charges for using Cloud9. You can connect Cloud9 to an existing/new AWS compute instance, and you pay only for that instance. It’s also possible to connect to a third-party server over SSH — for exactly no fee! 🙂
Source: geekflare.com
Ruby IDE: The 9 Best IDEs for Ruby on Rails Development
Here we are talking about a different animal all together – Cloud9. Cloud9 offers development environment for almost all programming languages including Ruby. Cloud9 is fast becoming popular among medium to large enterprises and companies like Heroku, Soundcloud, Mailchimp and Mozilla etc. are already using Cloud9.
Source: noeticforce.com

Social recommendations and mentions

Based on our record, Jupyter should be more popular than AWS Cloud9. It has been mentiond 216 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.

Jupyter mentions (216)

  • The 3 Best Python Frameworks To Build UIs for AI Apps
    Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / 2 months ago
  • LangChain: From Chains to Threads
    LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
  • Applied Artificial Intelligence & its role in an AGI World
    Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 4 months ago
  • Jupyter Notebook for Java
    Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 9 months ago
  • JIRA Analytics with Pandas
    One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 11 months ago
View more

AWS Cloud9 mentions (39)

  • Serverless Data Processing on AWS : AWS Project
    AWS Cloud9 is a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser. It includes a code editor, debugger, and terminal. Cloud9 comes pre-packaged with essential tools for popular programming languages and the AWS Command Line Interface (CLI) pre-installed so you don’t need to install files or configure your laptop for this workshop. Your Cloud9... - Source: dev.to / 6 months ago
  • Codespaces but open-source, client-only, and unopinionated
    AWS has Cloud9[1] though it's worth pointing out that it's not an exact a 1:1 and may require some elbow grease to use in the same manner[2]. 1. https://aws.amazon.com/cloud9/ 2. https://aws.amazon.com/blogs/architecture/field-notes-use-aws-cloud9-to-power-your-visual-studio-code-ide/ (2021). - Source: Hacker News / almost 2 years ago
  • How does working with files through AWS work, do you save them onto the AWS console?
    If you just want to run an IDE for Python in the cloud, take a look at AWS Cloud9 (that would cost something however). You could get your code into AWS and sync your local changes using a source code repository, e.g. On GitHub or GitLab. Source: about 2 years ago
  • Best web-based IDEs?
    Not sure why you won't use replit but AWS has Cloud9 https://aws.amazon.com/cloud9/. Source: about 2 years ago
  • Taking my AWS CCP Exam today, any additional notes help, feel pretty good about the information I’ve reviewed, but please feel free to drop advice or notes.
    As I mentioned in a previous post, cloud9 was not in the course I was studying from, and not in the practice exams I solved. It came in my exam. Https://aws.amazon.com/cloud9/. Source: over 2 years ago
View more

What are some alternatives?

When comparing Jupyter and AWS Cloud9, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Codeanywhere - Codeanywhere is a complete toolset for web development. Enabling you to edit, collaborate and run your projects from any device.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Koding - A new way for developers to work.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Netbeans - NetBeans IDE 7.0. Develop desktop, mobile and web applications with Java, PHP, C/C++ and more. Runs on Windows, Linux, Mac OS X and Solaris. NetBeans IDE is open-source and free.

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