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Anvil.works VS Python

Compare Anvil.works VS Python and see what are their differences

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Anvil.works logo Anvil.works

Build seriously powerful web apps with all the flexibility of Python. No web development experience required.

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • Anvil.works Landing page
    Landing page //
    2022-03-23

Anvil is a powerful online platform that lets you build web applications with nothing but Python. It comes with two-click deployment, built-in user authentication, easy-to-use databases and loads more!

Learn all about Anvil in 80 seconds: https://youtu.be/3V-3g1mQ5GY

  • Python Landing page
    Landing page //
    2021-10-17

Anvil.works features and specs

  • Ease of Use
    Anvil.works simplifies web development through its drag-and-drop interface and Python-based backend, making it accessible for developers who may not have extensive front-end skills.
  • Integrated Development
    It provides an all-in-one platform, including database management, authentication, and server-side logic, which reduces the need for multiple third-party services.
  • Rapid Prototyping
    The platform allows for quick iteration and development of prototypes, enabling faster testing and validation of ideas.
  • Python Support
    For developers familiar with Python, Anvil.works allows them to leverage their existing knowledge without having to learn JavaScript, HTML, or CSS.
  • Deployment Simplicity
    Deploying an application is straightforward and seamless, as it removes much of the overhead involved in traditional web app deployment.

Possible disadvantages of Anvil.works

  • Limited Flexibility
    Because it's an all-in-one solution, customization might be limited compared to traditional development stacks where you have complete control over all layers of the application.
  • Performance Constraints
    Applications built on Anvil.works might not be as performant as those built with more specialized frameworks or stacks, particularly for very large or complex applications.
  • Vendor Lock-in
    Reliance on Anvil.works means that your application is dependent on their platform. Migrating away can be challenging if their pricing model changes or if the service discontinues.
  • Learning Curve
    While it reduces the need to learn multiple web technologies, there is still a learning curve for mastering the Anvil-specific ways of doing things.
  • Cost
    While there is a free tier, advanced features and higher tiers can become costly, particularly if the platform scales with usage.

Python features and specs

  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages of Python

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

Analysis of Anvil.works

Overall verdict

  • Anvil.works is considered a good platform for web development, especially for those who prefer a simplified, drag-and-drop interface.

Why this product is good

  • It provides an easy-to-use, visual interface that allows developers to design web apps quickly without needing to handle the complexities of frontend/backend integration manually.
  • Anvil uses Python, a popular and beginner-friendly programming language, allowing developers to write both frontend and backend code.
  • The platform includes built-in components for common web functionalities, such as user authentication, data tables, API management, and email services, enhancing productivity.
  • It is particularly useful for rapid prototyping and creating small to mid-scale applications, thanks to its all-in-one nature.
  • Anvil simplifies the deployment process, allowing for seamless app sharing and scaling without deep DevOps knowledge.

Recommended for

  • Beginners who want to learn web development using Python.
  • Developers interested in rapid application development and prototyping.
  • Small teams or individuals who need to deploy applications quickly without extensive setup.
  • Educators and students looking for a practical, accessible way to build and deploy applications.

Anvil.works videos

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Python videos

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Category Popularity

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Anvil.works and Python

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Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Letโ€™s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

Social recommendations and mentions

Based on our record, Python should be more popular than Anvil.works. It has been mentiond 299 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.

Anvil.works mentions (102)

  • PySimpleGUI 6
    Have a look at https://anvil.works. - Source: Hacker News / 3 months ago
  • How to Build a RAG Solution with Llama Index, ChromaDB, and Ollama
    With a few lines of Python, you can build a basic retrieval-augmented generation (RAG) solution, but it doesnโ€™t stop here. You can extend this project to search for multiple web pages, load large documents, add a simple web UI using either Streamlit or Anvil, or even experiment with different models in Ollama. - Source: dev.to / 9 months ago
  • The Python Web Stack You've Never Heard Of: Building Apps Without Frontend Code
    Anvil takes a contrarian approach: what if you could write your entire web application including the client-side code in Python? No JavaScript required. But hereโ€™s the technical puzzle: browsers only understand JavaScript. So how does this actually work? - Source: dev.to / 9 months ago
  • Ask HN: Who is hiring? (September 2025)
    We make an open-source web framework, an online code editor, a GUI builder, and a PaaS hosting platform. Together, you can build and host a full-stack web application - and all you need is a little Python. (Yes, even the client-side code - we compile Python to JS with a Pythonic GUI framework!) Weโ€™re looking for an experienced all-rounder to work on the core Anvil platform, with a focus on the back-end. Our stack... - Source: Hacker News / 11 months ago
  • The Best Python Web App Frameworks in 2025
    Anvil takes a very different approach to building Python web applications. While the previous options are Python packages built as alternatives to Streamlit, Anvil was built to be Visual Basic for the web. - Source: dev.to / 12 months ago
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Python mentions (299)

  • How to Build a Dependency Map of a Legacy Codebase Using AI Tools
    137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
  • How to Prepare a Legacy Codebase for AI-Assisted Refactoring
    For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
  • Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)
    Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ€” no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 4 months ago
  • Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing
    **_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โ€œSave this dataโ€ - โ€œGet this dataโ€ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
  • Asyncio: Interview Questions and Practice Problems
    Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
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What are some alternatives?

When comparing Anvil.works and Python, you can also consider the following products

Unity - The multiplatform game creation tools for everyone.

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

Blender - Blender is the open source, cross platform suite of tools for 3D creation.

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation