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Kaggle Notebooks VS Deepnote

Compare Kaggle Notebooks VS Deepnote and see what are their differences

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Kaggle Notebooks logo Kaggle Notebooks

Kaggle Notebooks are a computational environment that enables reproducible and collaborative analysis.

Deepnote logo Deepnote

A collaboration platform for data scientists
  • Kaggle Notebooks Landing page
    Landing page //
    2023-11-11
  • Deepnote Landing page
    Landing page //
    2023-10-09

Kaggle Notebooks features and specs

No features have been listed yet.

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.

Kaggle Notebooks videos

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Deepnote videos

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

Category Popularity

0-100% (relative to Kaggle Notebooks and Deepnote)

Kaggle Notebooks

Deepnote

Data Science And Machine Learning
13 13%
Data Science And Machine Learning
87% 87
Data Science Tools
100 100%
Data Science Tools
0% 0
AI
0 0%
AI
100% 100
Data Science Notebooks
100 100%
Data Science Notebooks
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 Kaggle Notebooks and Deepnote

Kaggle Notebooks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Kaggle Notebooks is a cloud-based notebook platform for data science and machine learning enthusiasts. It provides access to hardware resources for running machine learning and deep learning models (think GPUs and TPUs).
Source: lakefs.io
7 best Colab alternatives in 2023
Kaggle is best known for its data science competitions, but it also offers a cloud-based computation environment known as Kaggle Kernels. Like Colab, it provides free access to GPUs and supports Python, R, and Julia languages. It is also deeply integrated with other Kaggle features, providing direct access to a wealth of datasets and community notebooks, making it an...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Kaggle Notebooks is a cloud-based notebook alternative platform for data science enthusiasts and machine learning. Like Google Colab, Kaggle Notebooks offers powerful hardware resources, including GPUs and TPUs, for running machine learning and deep learning models. It also offers a number of other useful features, such as integration with the Kaggle API, support for version...
Source: noteable.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 seems to be more popular. 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.

Kaggle Notebooks mentions (0)

We have not tracked any mentions of Kaggle Notebooks yet. Tracking of Kaggle Notebooks recommendations started around Nov 2023.

Deepnote mentions (34)

View more

What are some alternatives?

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

Microsoft Azure Notebooks - You can enjoy powerful, integrated Jupyter notebooks with the following products and services from Microsoft and GitHub.

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.

Noteable.io - Meet Noteable, the collaborative notebook experience that goes beyond silos and breaks down barriers for your data teams.

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

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.

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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