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Frappe Framework VS Python

Compare Frappe Framework VS Python and see what are their differences

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Frappe Framework logo Frappe Framework

Frappe is a full stack web framework in Python and JS.

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • Frappe Framework Landing page
    Landing page //
    2023-10-14
  • Python Landing page
    Landing page //
    2021-10-17

Frappe Framework features and specs

  • Open Source
    Frappe Framework is open-source, which means it provides the flexibility to access, modify, and distribute the source code. This fosters community collaboration and enables users to tailor the framework to their specific needs.
  • Easy to Use
    Frappe Framework features a user-friendly interface and simple coding standards. Its built-in modules simplify the development of custom applications, reducing the learning curve for new developers.
  • Integrated with ERPNext
    Frappe Framework is the underlying platform for ERPNext, a comprehensive ERP system. This integration allows users to build and extend ERP functionalities seamlessly.
  • Rich in Features
    The framework offers a wide range of built-in features like role-based permissions, REST API, and real-time notifications. These features make it easier to develop robust applications.
  • Customizability
    Because Frappe Framework follows a meta-driven, modelโ€“viewโ€“controller architecture, it allows for high customizability, letting developers adapt the system to very specific business requirements.
  • Active Community and Support
    Frappe has an active community and extensive documentation, which can be very helpful for troubleshooting and improving development outcomes.

Possible disadvantages of Frappe Framework

  • Learning Curve
    Despite its relatively user-friendly interface, Frappe Framework has a learning curve. New users, especially those unfamiliar with Python or the frameworkโ€™s conventions, may find it challenging initially.
  • Performance
    For very large datasets and high-traffic applications, the performance can sometimes be a concern. It may require optimization and tuning to handle high-load scenarios efficiently.
  • Dependent on ERPNext
    While Frappe can be used independently, it is heavily tied to ERPNext. For users not interested in ERP functionalities, the tight integration might feel like unnecessary overhead.
  • Limited Third-Party Integrations
    Compared to other mature frameworks, Frappe offers limited third-party integrations out of the box. This can require additional development effort to connect with other systems and services.
  • Documentation Quality
    Although documentation is extensive, the quality and clarity can vary. Some users may find certain sections lacking in detail, which can hinder understanding and implementation.
  • Complexity in Customization
    While highly customizable, making deep customizations can be complex and may require a thorough understanding of the frameworkโ€™s architecture and components.

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 Frappe Framework

Overall verdict

  • Frappe Framework is a good choice for developers looking to build scalable and customizable applications quickly. Its full-stack capabilities simplify development processes and the extensibility of the framework allows for significant customization to meet specific business needs.

Why this product is good

  • Frappe Framework is considered a robust and flexible tool for building custom web applications. It offers a full-stack framework with integrated UI components, REST API support, and a modular design, which makes it efficient for rapid application development. Additionally, it powers ERPNext, a popular open-source ERP system, showcasing its capability to handle complex business logic. The community around Frappe is active and there are extensive online resources, making it easier for developers to learn and troubleshoot.

Recommended for

    Frappe Framework is recommended for developers and businesses looking to create custom applications, particularly those requiring a strong backend with integrated frontend capabilities. It's also well-suited for small to medium-sized enterprises that need scalable solutions for managing their operations. Additionally, developers familiar with Python will find it particularly accessible.

Frappe Framework videos

Achilles Rasquinha - Frappe Framework Vs Django Vs Meteor

More videos:

  • Review - Rushabh Mehta - Frappe Framework

Python videos

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

Category Popularity

0-100% (relative to Frappe Framework and Python)
Web Frameworks
100 100%
0% 0
Programming Language
0 0%
100% 100
Python Web Framework
100 100%
0% 0
OOP
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 Frappe Framework and Python

Frappe Framework Reviews

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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 seems to be a lot more popular than Frappe Framework. While we know about 300 links to Python, we've tracked only 3 mentions of Frappe Framework. 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.

Frappe Framework mentions (3)

  • Best POS/Inventory tracking solution for a garden center?
    I've been watching ERPNext closely over the last few years and they recently upgraded their UI (lot of the marketing pages haven't been updated ...). The platform is completely open source and free (if you decide to host yourself) and shows a lot of promise. It's built on top of their Python-based dev framework called https://frappe.io/ which is relatively lowcode, so shouldn't be too difficult to build on top of... Source: over 3 years ago
  • Looking for open-source enthusiast programmers
    We currently are not, but Frappe is. You should check them out. Source: over 3 years ago
  • ERPNext Installation Details
    Frappe: software framework, based on Python, used to build ERPNext. - Source: dev.to / about 5 years ago

Python mentions (300)

  • Self-contained highly-portable Python distributions
    > When you download Python from http://python.org (on Linux or macOS), what you're actually downloading is an installer that builds Python from source on your machine. > The net effect is that on Linux and macOS, you can't "download a Python binary" from... anywhere. Other than the python-build-standalone project. Are you sure this is right about macOS? I just had a look inside the macOS installer from python.org... - Source: Hacker News / about 1 month ago
  • 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 / 4 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 / 4 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 / 5 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 / 8 months ago
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What are some alternatives?

When comparing Frappe Framework and Python, you can also consider the following products

Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications

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

Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...

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

Django - The Web framework for perfectionists with deadlines

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