Software Alternatives, Accelerators & Startups

Spreadsheet.com VS Deepnote

Compare Spreadsheet.com VS Deepnote and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Spreadsheet.com logo Spreadsheet.com

Spreadsheets that come alive as applications

Deepnote logo Deepnote

A collaboration platform for data scientists
  • Spreadsheet.com Landing page
    Landing page //
    2023-07-08
  • Deepnote Landing page
    Landing page //
    2023-10-09

Spreadsheet.com features and specs

  • Familiar Interface
    Spreadsheet.com retains the familiar spreadsheet interface, making it easy for users who are accustomed to traditional spreadsheets to adopt.
  • Database Functionality
    Offers database-style functionalities, such as forms and linked worksheets, allowing users to manage structured data more efficiently.
  • Customizable Workflows
    Users can create custom workflows using automation and data modeling features to suit specific project or organizational needs.
  • Collaboration Features
    Real-time collaboration tools and sharing options make it easy for teams to work together on projects from anywhere.
  • Integration Capabilities
    Integrates with various popular third-party applications, expanding its functionality and utility in diverse work environments.

Possible disadvantages of Spreadsheet.com

  • Learning Curve
    Users may experience a learning curve due to the additional functionalities compared to traditional spreadsheets.
  • Performance
    Complex or very large datasets can sometimes impact performance, slowing down the responsiveness of the application.
  • Cost
    While there is a free version, some advanced features are limited to paid plans, which may not be cost-effective for all users.
  • Limited Offline Functionality
    Spreadsheet.com relies heavily on an internet connection, with limited offline functionality, which can be restrictive in areas with poor connectivity.
  • Feature Overlap
    The range of features provided may overlap with other dedicated tools like databases and project management software, causing redundancy issues.

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.

Spreadsheet.com videos

Full Overview of Spreadsheet.com

Deepnote videos

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

Category Popularity

0-100% (relative to Spreadsheet.com and Deepnote)
Spreadsheets
100 100%
0% 0
Data Science And Machine Learning
Productivity
41 41%
59% 59
AI
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 Spreadsheet.com and Deepnote

Spreadsheet.com Reviews

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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...

Social recommendations and mentions

Based on our record, Deepnote seems to be a lot more popular than Spreadsheet.com. While we know about 34 links to Deepnote, we've tracked only 2 mentions of Spreadsheet.com. 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.

Spreadsheet.com mentions (2)

  • HELP! Does Trello Suck? Want to Move Away from Monday.com
    Just looked at spreadsheet.com - it's not a google product is it? I am very much attracted to the visual/graphic charts that show forecasted revenue and things of that nature. I don't know if any other program has the ability to put those up. There's only one GB of storage per workbook however, and only 1500 line items per workbook. Source: over 2 years ago
  • Rows.com: Spreadsheets on Steroids
    3. Business processes What Rows does falls mostly into the realm of small databases and business processes. And while each has their own approach, I'd say that most other "next-gen spreadsheets" are also focusing on these (big and important) use-cases. Airtable (https://airtable.com/), Spreadsheet.com (https://spreadsheet.com/) and Smartsheet (https://smartsheet.com/) all play mainly in this area. GRID is focusing... - Source: Hacker News / over 3 years ago

Deepnote mentions (34)

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What are some alternatives?

When comparing Spreadsheet.com and Deepnote, you can also consider the following products

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

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.

Magic Spreadsheet - Human workforce and AI plugged into your Google Spreadsheets

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

Rows - The spreadsheet where teams work faster

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