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Thunkable VS Deepnote

Compare Thunkable VS Deepnote and see what are their differences

Modelence
Create production-ready applications with zero code featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Thunkable logo Thunkable

Powerful but easy to use, drag-and-drop mobile app builder.

Deepnote logo Deepnote

A collaboration platform for data scientists
  • Thunkable Landing page
    Landing page //
    2023-10-23
  • Deepnote Landing page
    Landing page //
    2023-10-09

Thunkable features and specs

  • User-Friendly Interface
    Thunkable offers a drag-and-drop interface which makes it easy for beginners to create mobile apps without needing to write code.
  • Cross-Platform Development
    It allows you to build apps that work on both iOS and Android platforms from a single codebase, saving time and effort.
  • Community and Support
    Thunkable has an active community and extensive documentation, which can be very helpful for troubleshooting and learning new features.
  • Real-time Testing
    You can test your app in real-time using the Thunkable Live app, which speeds up the development process.
  • Integrations
    Thunkable offers various pre-built integrations such as Google Sheets, Firebase, and REST APIs, making it easier to add functionality to your app.

Possible disadvantages of Thunkable

  • Limited Customization
    While the drag-and-drop interface is user-friendly, it can also be limiting for advanced users who need more control and customization.
  • Performance Issues
    Apps built with Thunkable may not perform as well as those built with native development tools, particularly for resource-intensive applications.
  • Pricing
    While Thunkable offers a free tier, many advanced features and higher usage limits are locked behind a subscription paywall.
  • Learning Curve for Complex Apps
    Although itโ€™s beginner-friendly, creating complex apps can still require a steep learning curve, especially if you donโ€™t have a background in app development.
  • Dependence on Platform Limitations
    As a cross-platform tool, it may not always support the latest features specific to iOS or Android as quickly as native solutions.

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.

Analysis of Thunkable

Overall verdict

  • Thunkable is a good choice for individuals or small teams looking to develop apps quickly and without needing to learn complex programming languages. Its simplicity and cross-platform capabilities make it a preferred option for novice developers or educators teaching app development.

Why this product is good

  • Thunkable is a platform that allows users to create mobile applications without extensive coding knowledge. It features a drag-and-drop interface, making it accessible to beginners and those without a technical background. The platform supports both Android and iOS app development from a single project, which saves time and effort. Additionally, Thunkable provides various pre-built components and a community forum for support.

Recommended for

    Beginners in app development, educators introducing app creation, small startups looking for rapid prototyping, and non-technical entrepreneurs interested in building mobile applications.

Analysis of Deepnote

Overall verdict

  • Deepnote is an excellent tool for data scientists, particularly those who value collaboration and need interactive, shareable notebooks. Its user-friendly interface and powerful integration capabilities make it a strong contender in the data science notebook space.

Why this product is good

  • Deepnote is a collaborative data science notebook designed to enhance productivity and simplify the data science workflow. It offers real-time collaboration, similar to Google Docs, making it easier for teams to work together efficiently. It supports various programming languages and integrates seamlessly with popular tools such as Jupyter notebooks, Git, and cloud storage services. Deepnote also provides a strong focus on data visualization and interactive dashboards, making it easier to interpret and present data insights.

Recommended for

  • Data scientists who work in teams and need a collaborative environment.
  • Professionals who require seamless integration with existing tools and cloud storage.
  • Users who prioritize interactive data visualization and interpretability.
  • Educators looking for an accessible platform to teach data science concepts.

Thunkable videos

+ Add

What is Thunkable X?

More videos:

  • Review - Thunkable vs Kodular: Create Android and iOS Apps without Coding
  • Review - ProductHunt Review E8 (Reactful, Thunkable, Tster) by Cleveroad Inc

Deepnote videos

+ Add

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

Category Popularity

0-100% (relative to Thunkable and Deepnote)

Thunkable

Deepnote

Mobile App Builder
100 100%
Mobile App Builder
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Application Builder
100 100%
Application Builder
0% 0
Development
67 67%
Development
33% 33

User comments

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Reviews

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

Thunkable Reviews

Top 10 Android Studio Alternatives For App Development
Thunkable is a mobile application development platform that allows users to create apps on Android or iOS without having any coding skills. It consists of a drag-and-drop interface which makes it easier to use by anyone.
Source: www.geeksforgeeks.org
Top 5 App Builder To Build Your Own App Without Coding
In the Free Version of Thunkable, You can make a maximum of 10 posts with 200 MB of storage, Don't create a Good Project in the free version because Your project is available in public So that anyone can use it. If you want to create an app to publish your app on the play store, So please buy PRO subscriptions in Thunkable or Move to another app builder. Only you can...
Source: www.neverspend.in
33+ Best No Code Tools you will love ๐Ÿ˜
With testing out Thunkable with a friend, it's a bit of s learning curve at first, but once you get used to the platform, there's a lot of potential to build awesome projects. What I do like that they have done is includes video tutorials (which is pulled in from their YouTube page) to understand specific features/tools to help build your app. Something I think more apps...
Source: www.dansiepen.io
25 No-Code Apps and Tools to help build your next Startup
Thunkable is a powerful mobile app builder that requires no coding. It emphasizes speed and aesthetics. Its best feature is its functionality for advanced features.
Source: www.ishir.com
10 Best Android Studio Alternatives For App Development
Thunkable is a powerful drag and drops app builder. And this is made by two of the very first MIT engineers on the MIT app inventor. The platform is geared for the most professional users, who may want higher quality and robust apps for their business, community or just for themselves. Thus, Thunkable has an amazingly active and engaged community. And it also offers live...
Source: techdator.net

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] โ€“ 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 Thunkable. 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.

Thunkable mentions (10)

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Deepnote mentions (34)

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What are some alternatives?

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

Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.

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

Android Studio - Android development environment based on IntelliJ IDEA

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.

AppyPie AppMakr - AppMakr is a browser-based platform designed to make creating your own iPhone app quick and easy.

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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