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spaCy VS AppStruct

Compare spaCy VS AppStruct and see what are their differences

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

spaCy logo spaCy

spaCy is a library for advanced natural language processing in Python and Cython.

AppStruct logo AppStruct

AppStruct โ€” a new no-code platform built for web, mobile, desktop apps and telegram mini-apps development.
  • spaCy Landing page
    Landing page //
    2023-06-26
  • 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, Iโ€™m Boris, co-founder of AppStruct โ€” a new no-code platform built for web, mobile, and desktop apps development. Weโ€™re a team of no-code enthusiasts who set out to fix the two biggest pain points we kept running into: speed and complexity.

Weโ€™re not the first to build in the no-code space โ€” 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 โ€” and make app creation faster than ever.

spaCy

Website
spacy.io
Pricing URL
-
$ Details
Release Date
-
Edit details

AppStruct

Website
appstruct.ai
Pricing URL
Official AppStruct Pricing
$ Details
freemium $45.0 / Monthly
Release Date
2024 January
Startup details
Country
Italy
State
Florence
City
Florence
Founder(s)
Boris Markarian, Vladimir Tambovtsev, Ilia Yasir
Employees
1 - 9
Edit details

spaCy features and specs

  • Efficient and Fast
    spaCy is designed to be highly efficient and fast, making it suitable for processing large amounts of text quickly.
  • Easy to Use API
    The library offers a user-friendly API, which makes it accessible for beginners while still being powerful for advanced users.
  • Pre-trained Models
    spaCy provides a range of pre-trained models for various languages, which facilitates quick development and testing.
  • High-Quality Documentation
    The documentation is thorough and well-structured, providing essential guides and examples to help users get started.
  • Community and Ecosystem
    A strong community and a wide array of third-party extensions and integrations are available, enhancing the library's functionality.
  • Named Entity Recognition (NER)
    spaCy offers robust Named Entity Recognition capabilities out of the box, allowing for efficient entity extraction.
  • Tokenization
    It provides efficient sentence and word tokenization, which is fundamental for any NLP task.
  • Dependency Parsing
    spaCy includes a powerful dependency parser for analyzing grammatical structure.

Possible disadvantages of spaCy

  • Limited Language Support
    While spaCy supports multiple languages, it does not support as many languages as some other NLP libraries like NLTK.
  • Memory Usage
    spaCy can be memory-intensive, particularly when dealing with large models or datasets.
  • Customization Constraints
    Customizing certain aspects of the models can be complex and might require deep knowledge of the library's internals.
  • Installation Issues
    Some users may encounter difficulties when installing spaCy due to dependency management, particularly in specific environments.
  • Lack of Text Generation Features
    Unlike libraries such as GPT-3 provided by OpenAI, spaCy does not focus on text generation capabilities, limiting its use for certain applications.
  • Relatively New
    Compared to more established libraries like NLTK, spaCy is relatively new, which means it has less historical development and a smaller knowledge base in some areas.

AppStruct features and specs

  • ๐Ÿ–ฑ๏ธ Drag & Drop Editor
    Build your UI by dropping and stretching components on the canvas.
  • ๐Ÿ”— 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.
  • ๐Ÿš€ One-Click Publishing
    Deploy to the App Store and Google Play in one click.
  • ๐Ÿ“ฅ APK & PWA download
    Get installable apps with shareable links.
  • ๐Ÿ“ฑ Adaptive Layouts
    Your UI automatically resizes for phones, tablets, desktops or any custom screen size.
  • ๐Ÿ—„๏ธ Built-In & External Backends
    Use our database or plug in Firebase/Supabase.
  • ๐Ÿงฉ 50+ UI Components
    Choose from a rich library of components โ€” all fully customizable to match your brand.
  • ๐Ÿ“ก WebSockets
    Real-time features like live chat and dashboards.
  • ๐Ÿ’พ Local Storage
    Store temporary or persistent data in-app.
  • ๐Ÿค– AI Component Generator
    Describe what you need, we generate the component.
  • ๐Ÿ› ๏ธ Custom Code Support
    Drop in your own React logic when needed.
  • ๐Ÿ”„ Visual Logic Builder
    Build complex conditionals and workflows with a node-based editor.
  • โž— Math Engine
    Do live calculations and metrics in the UI. Build logic based on device data, geo position, and time.
  • ๐ŸŽจ Design System
    Manage global fonts, colors, themes, and dark/light mode.
  • ๐Ÿ“ฒ Deep Links
    Create shareable URLs that open specific screens or content directly within your app.
  • ๐Ÿ” SEO Control
    Meta tags, sitemaps, and prerendering built in.
  • ๐Ÿ“ Geolocation
    Access user location data to power maps, geo-fencing, location-based content and more.
  • ๐Ÿ”” Push Notifications
    Send targeted notifications and real-time alerts. Works seamlessly with Deep Links to drive users directly to the right screen.
  • ๐Ÿ“‘ Prebuilt Templates
    E-commerce, delivery, AI chatbots, and more.
  • ๐Ÿ“ Localization
    Translate your app into multiple languages instantly.
  • ๐Ÿ“š Interactive Docs
    In-app docs and videos to help you every step of the way.

Analysis of spaCy

Overall verdict

  • spaCy is a highly regarded NLP library, especially valued for its speed and practicality in production environments. It is particularly recommended for projects that require efficient processing of large volumes of text.

Why this product is good

  • Updates
    Regular updates and extensions provide new features and improved performance.
  • Features
    ["spaCy is known for its speed and efficiency in natural language processing tasks.", "It offers easy-to-use APIs and comprehensive pre-trained models for multiple languages.", "The library is designed to help users build production-ready NLP pipelines quickly.", "spaCy provides excellent integration with other machine learning frameworks such as TensorFlow and PyTorch.", "It includes robust support for named entity recognition, part-of-speech tagging, dependency parsing, and more."]
  • Community
    spaCy has an active community and an abundance of tutorials, documentation, and resources to support users.

Recommended for

  • Developers and data scientists working on natural language processing projects.
  • Teams needing fast and reliable NLP pipelines in production systems.
  • Individuals or organizations looking to quickly prototype NLP applications.

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

spaCy videos

+ Add

Honda Spacy Helm in PGM-FI Review & Test Ride

More videos:

  • Review - Review Singkat Honda Spacy
  • Review - REVIEW HONDA SPACY 2018/2019

AppStruct videos

+ Add

Welcome to AppStruct | A New Standard for No-Code

More videos:

  • Review - AppStruct & Earlybird โ€“ 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 spaCy and AppStruct)

spaCy

AppStruct

Natural Language Processing
100 100%
Natural Language Processing
0% 0
No Code
0 0%
No Code
100% 100
NLP And Text Analytics
100 100%
NLP And Text Analytics
0% 0
Application Builder
0 0%
Application Builder
100% 100

User comments

Share your experience with using spaCy and AppStruct. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, spaCy seems to be more popular. It has been mentiond 65 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.

spaCy mentions (65)

  • The Sovereign Redactor โ€” A Precision-Guided Privacy Airlock
    We use spaCyโ€™s en_core_web_lg (Large) model as the underlying NLP engine. This gives the Redactor the linguistic context to understand that "Gatsby" in a book title should stay, but "Gatsby" mentioned as a person's name in a private letter might need to go. - Source: dev.to / 3 months ago
  • NER: Gemini vs Spacy vs Compromise
    For NER, if accuracy is critical, go with an LLM โ€” even an old one like gemma-3-27b-it will outperform tools or small models trained for this task. But by using an LLM you are exposing your data, making an HTTP request, and most likely incurring a cost. If accuracy is not critical and you want to stay in Javascript, compromise is a good package for NER. If you want an even better package and it's OK not using... - Source: dev.to / 4 months ago
  • Parsing Nutrition Labels with AI: From Image to Structured Data
    For more advanced food label AI, combine pattern matching with Named Entity Recognition (NER). Libraries like spaCy (Python) or compromise (JavaScript) can identify amounts, units, and nutrient names even in noisy text. - Source: dev.to / 5 months ago
  • Building a Menu Scanner with OCR and AI
    For complex or highly variable menus, consider using NLP libraries like spaCy (Python) or fine-tuning a transformer-based NER model (e.g., BERT) to identify dish names and prices. - Source: dev.to / 5 months ago
  • Solved: Is there a better way to test subject lines besides random A/B tools?
    Open-Source NLP Libraries: Python libraries like spaCy, NLTK, and Hugging Face Transformers for building custom models. - Source: dev.to / 7 months ago
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 spaCy and AppStruct, you can also consider the following products

Amazon Comprehend - Discover insights and relationships in text

Adalo - Build apps for every platform, without code โœจ

Google Cloud Natural Language API - Natural language API using Google machine learning

Floot - Build serious apps with AI without getting stuck

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.

FlutterFlow - FlutterFlow is an online low-code platform that empowers people to build native mobile apps visually.

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