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nteract VS Deepnote

Compare nteract VS Deepnote and see what are their differences

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

nteract logo nteract

nteract is a desktop application that allows you to develop rich documents that contain prose...

Deepnote logo Deepnote

A collaboration platform for data scientists
  • nteract Landing page
    Landing page //
    2022-06-29
  • Deepnote Landing page
    Landing page //
    2023-10-09

nteract features and specs

  • Ease of Use
    nteract offers a user-friendly interface that is simple to set up and use, making it accessible to both beginners and experienced users in data science environments.
  • Interactivity
    The tool provides an interactive experience for running live code, displaying text, and visualizing data efficiently within a single notebook interface.
  • Multi-language Support
    nteract supports multiple programming languages, thanks to Jupyter kernels, which allows flexibility and integration within various data science workflows.
  • Open Source
    Being open source, nteract encourages community contributions and improvements, offering a level of transparency and customization to its users.
  • Extensibility
    The presence of numerous plugins and extensions enables users to enhance the functionality of nteract based on their specific requirements.

Possible disadvantages of nteract

  • Dependency Management
    Managing dependencies can be complex, as users need to handle different libraries and packages to ensure compatibility within their projects.
  • Limited Advanced Features
    Compared to other IDEs, nteract may lack some advanced features required by professional developers for large, intricate projects.
  • Performance Issues
    nteract may experience performance issues when managing large datasets or complex computations due to the resource-intensive nature of notebooks.
  • Learning Curve for Extensions
    While extensibility is a pro, understanding and integrating numerous plugins and extensions can present a learning curve for new users.
  • Community and Documentation
    Although growing, the nteract community and available documentation might not be as extensive as more established platforms like Jupyter Notebook.

Deepnote features and specs

  • Collaborative Features
    Deepnote allows for real-time collaboration, similar to Google Docs, where multiple users can work on the same notebook simultaneously without conflicts.
  • Integration with Popular Tools
    Deepnote integrates seamlessly with popular data sources and tools such as Google Drive, GitHub, and SQL databases, enhancing its versatility for data science projects.
  • User-Friendly Interface
    The interface is clean and easy to navigate, making it accessible for both beginners and experienced data scientists.
  • Cloud-Based
    Being a cloud-based solution, Deepnote eliminates the need for local setup and maintenance, allowing users to access their projects from anywhere with internet access.
  • Data Security
    Deepnote provides robust security features, ensuring that your data and notebooks are protected against unauthorized access.
  • Integrated Version Control
    Version control within Deepnote allows users to track changes, revert to previous versions, and collaborate more effectively on shared projects.

Possible disadvantages of Deepnote

  • Limited Offline Access
    As a cloud-based platform, Deepnote requires an internet connection for most of its functionality, which can be a limitation for users needing offline access.
  • Performance Constraints
    Heavy computational tasks might be limited by the performance capabilities of the cloud resources provided, affecting users who require extensive computational power.
  • Subscription Costs
    While there is a free tier, advanced features and increased resource limits come at a subscription cost, which might be a consideration for students or hobbyists.
  • Learning Curve for Advanced Features
    While basic functionality is user-friendly, mastering the more advanced features and integrations may require a learning curve, especially for users new to data science tools.
  • Dependency on External Infrastructure
    The performance and availability of Deepnote can be affected by issues with their cloud service providers, which adds a layer of dependency on external infrastructure.

nteract videos

+ Add

nteract weekly August 16, 2018

More videos:

  • Review - nteract weekly November 5, 2018
  • Review - nteract weekly October 1, 2018

Deepnote videos

+ Add

Could this be the Best Data Science Notebook? (Deepnote)

Category Popularity

0-100% (relative to nteract and Deepnote)

nteract

Deepnote

Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
Data Science And Machine Learning
20 20%
Data Science And Machine Learning
80% 80
AI
0 0%
AI
100% 100
Python IDE
100 100%
Python IDE
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare nteract and Deepnote

nteract 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

Deepnote Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Deepnote is a cloud-based data science notebook platform comparable to Jupyter Notebooks but with a focus on real-time collaboration and editing. It lets users write and run code in several programming languages, as well as include text, equations, and visualizations in a single document.
Source: lakefs.io
7 best Colab alternatives in 2023
Deepnote is a real-time collaborative notebook. It offers features like real-time collaboration, version control, and smart autocomplete. It also provides direct integrations with popular data sources like GitHub, Google Drive, and BigQuery. Its modern, intuitive interface makes it a compelling choice for both beginners and experienced data scientists.
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Deepnote is a cloud-based, data science notebook platform that is similar to Jupyter Notebooks, but with a focus on collaboration and real-time editing. It allows users to write and execute code in a variety of programming languages, as well as include text, equations, and visualizations in a single document. Deepnote also has a built-in code editor and supports a wide range...
Source: noteable.io
The Best ML Notebooks And Infrastructure Tools For Data Scientists
A Jupyter-notebook enabled platform, Deepnote boasts of many advanced features. Deepnote supports real-time collaboration to discuss and debug the code. The platform will soon have functions such as versioning, code review, and reproducibility. Deepnote has intelligent features to quickly browse the code, find patterns in your data, and autocomplete code. It can integrate...
Source: analyticsindiamag.com

Social recommendations and mentions

Based on our record, Deepnote should be more popular than nteract. It has been mentiond 34 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.

nteract mentions (4)

  • Best Python IDEs for Data Science!
    At the same time that already established and widely used IDEs like RStudio are renewed and provide support for new languages, other solutions appear almost out of nowhere and are adopted by the market as is the case of nteract, an open-source project to be the next interactive development experience adopted by Netflix, in practice it has support for Python, node.JS, R, Julia, C ++, Scala and .NET, in addition to... - Source: dev.to / over 3 years ago
  • Python IDE similar to Jupyter Notebook but not web based?
    Sounds like you're looking for nteract. Source: about 4 years ago
  • Installing Jupyter Notebook
    If you reach infuriation levels you can always cop out and use https://nteract.io/ Ultimately I would suggest jupyterlab over jupyter. Source: about 4 years ago
  • How to open .ipynb files with Jupyter Notebook by double-clicking from windows explorer?
    You can also try the software nteract (https://nteract.io). Source: about 4 years ago

Deepnote mentions (34)

View more

What are some alternatives?

When comparing nteract and Deepnote, you can also consider the following products

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.

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

BeakerX - Open Source Polyglot Data Science Tool

Apache Zeppelin - A web-based notebook that enables interactive data analytics.

iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

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