Software Alternatives & Startups

Jupyter VS AppStruct

Compare Jupyter VS AppStruct and see what are their differences

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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.

AppStruct logo AppStruct

AppStruct — a new no-code platform built for web, mobile, desktop apps and telegram mini-apps development.
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • AppStruct Full Frontend Contol
    Full Frontend Contol //
    2025-06-05
  • AppStruct Build Backend Flows
    Build Backend Flows //
    2025-06-05
  • AppStruct Direct Publishing
    Direct Publishing //
    2025-06-05

Hi, I’m Boris, co-founder of AppStruct — a new no-code platform built for web, mobile, and desktop apps development. We’re a team of no-code enthusiasts who set out to fix the two biggest pain points we kept running into: speed and complexity.

We’re not the first to build in the no-code space — but we felt the idea has never been pushed to its full potential. So we started fresh and built AppStruct from the ground up with one goal in mind:

Combine powerful functionality with simple UX — and make app creation faster than ever.

AppStruct

$ Details
freemium $45 / Monthly
Release Date
2024 January
Startup details
Country
Italy
State
Florence
City
Florence
Founder(s)
Boris Markarian, Vladimir Tambovtsev, Ilia Yasir
Employees
1 - 9

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.

AppStruct features and specs

  • 🖱️ Drag & Drop Editor
    Build your UI by dropping and stretching components on the canvas.
  • 🔗 API Integrations
    Connect to any API service in minutes: fetch data, send updates, and power your app with external APIs. Out-of-the-box integrations with Zapier, Stripe and Excel.
  • 🚀 One-Click Publishing
    Deploy to the App Store and Google Play in one click.
  • 📥 APK & PWA download
    Get installable apps with shareable links.
  • 📱 Adaptive Layouts
    Your UI automatically resizes for phones, tablets, desktops or any custom screen size.
  • 🗄️ Built-In & External Backends
    Use our database or plug in Firebase/Supabase.
  • 🧩 50+ UI Components
    Choose from a rich library of components — all fully customizable to match your brand.
  • 📡 WebSockets
    Real-time features like live chat and dashboards.
  • 💾 Local Storage
    Store temporary or persistent data in-app.
  • 🤖 AI Component Generator
    Describe what you need, we generate the component.
  • 🛠️ Custom Code Support
    Drop in your own React logic when needed.
  • 🔄 Visual Logic Builder
    Build complex conditionals and workflows with a node-based editor.
  • ➗ Math Engine
    Do live calculations and metrics in the UI. Build logic based on device data, geo position, and time.
  • 🎨 Design System
    Manage global fonts, colors, themes, and dark/light mode.
  • 📲 Deep Links
    Create shareable URLs that open specific screens or content directly within your app.
  • 🔍 SEO Control
    Meta tags, sitemaps, and prerendering built in.
  • 📍 Geolocation
    Access user location data to power maps, geo-fencing, location-based content and more.
  • 🔔 Push Notifications
    Send targeted notifications and real-time alerts. Works seamlessly with Deep Links to drive users directly to the right screen.
  • 📑 Prebuilt Templates
    E-commerce, delivery, AI chatbots, and more.
  • 📝 Localization
    Translate your app into multiple languages instantly.
  • 📚 Interactive Docs
    In-app docs and videos to help you every step of the way.

Analysis of AppStruct

Overall verdict

  • AppStruct.ai appears to be a capable no-code/AI-powered app building platform, but its suitability depends heavily on your specific needs, technical background, and the type of application you want to create. As with any tool in this space, it's best to evaluate it through a free trial before committing.

Why this product is good

  • It aims to lower the barrier to app development by leveraging AI, allowing non-technical users to build applications without writing code
  • AI-assisted platforms can significantly speed up prototyping and reduce development costs for simple to moderately complex apps
  • No-code/low-code approaches enable faster iteration and easier maintenance for small teams and solo builders
  • It may offer templates and pre-built components that accelerate getting a functional product to market

Recommended for

  • Entrepreneurs and startups wanting to quickly build an MVP without hiring developers
  • Small business owners needing custom internal tools or simple customer-facing apps
  • Non-technical founders who want to validate an idea before investing in full development
  • Designers and product managers who want to prototype rapidly
  • Teams looking to reduce development costs for straightforward applications

Jupyter videos

What is Jupyter Notebook?

More videos:

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

AppStruct videos

Welcome to AppStruct | A New Standard for No-Code

More videos:

  • Review - AppStruct & Earlybird – Live Webinar | A fresh look at no-code
  • Review - AppStruct Lifetime Deal - The Best AI-Assisted App Builder in 2025

Category Popularity

0-100% (relative to Jupyter and AppStruct)
Data Science And Machine Learning
No Code
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Application Builder
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 Jupyter and AppStruct

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.
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.

AppStruct Reviews

We have no reviews of AppStruct yet.
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Social recommendations and mentions

Based on our record, Jupyter seems to be more popular. It has been mentiond 224 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 (224)

View more

AppStruct mentions (0)

We have not tracked any mentions of AppStruct yet. Tracking of AppStruct recommendations started around Jun 2025.

What are some alternatives?

When comparing Jupyter and AppStruct, 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.

Adalo - Build apps for every platform, without code ✨

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

Floot - Build serious apps with AI without getting stuck

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

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