Apache Struts VS FastAPI

• Robust Framework
  Apache Struts is a mature and well-established framework for Java web applications, providing stable and reliable tools for enterprise-level applications.
• MVC Architecture
  Struts adheres to the Model-View-Controller (MVC) design pattern, which separates business logic, presentation, and navigation, making code maintenance and development easier.
• Extensive Documentation
  Struts has comprehensive documentation and a wealth of online resources, including tutorials, community forums, and user guides, which can support developers throughout their projects.
• Rich Tag Library
  It comes with a rich set of custom tags that enhance the JSP (JavaServer Pages) to create dynamic web content easily.
• Plugin Support
  Apache Struts supports various plugins that can extend its functionality, allowing developers to integrate additional features without much effort.

Possible disadvantages

• Steep Learning Curve
  New developers might find Struts challenging to learn due to its complexity and the need for a good understanding of the MVC architecture and Java web application development.
• Configuration Overhead
  The framework requires extensive XML configuration, which can be cumbersome and time-consuming compared to convention-over-configuration frameworks.
• Performance
  Struts can be slower than some newer, lighter frameworks due to its broader feature set and the overhead associated with its extensive configuration.
• Security Vulnerabilities
  Struts has had notable security vulnerabilities in the past. Although patches and updates are available, it necessitates proactive monitoring and maintenance.
• Outdated Compared to Modern Frameworks
  With the advent of modern frameworks like Spring MVC and JavaServer Faces, some developers consider Struts to be less up-to-date with the latest web development standards and practices.

• High Performance
  Built on Starlette and Pydantic, FastAPI is one of the fastest frameworks for Python, providing high performance due to its asynchronous request handling.
• Automatic Interactive API Documentation
  FastAPI automatically generates interactive API documentation via Swagger UI and ReDoc, which are very helpful for development and testing.
• Type Checking and Validation
  With Pydantic models and Python type hints, FastAPI provides automatic data validation and type checking, reducing the chance of runtime errors.
• Ease of Use
  Its syntax and design make it easy to learn for Python developers, offering a smooth development experience while reducing boilerplate code.
• Asynchronous Support
  FastAPI supports asynchronous programming, allowing for better performance for I/O-bound operations, making it optimal for handling many simultaneous connections.
• Extensive Documentation
  It has comprehensive and well-structured documentation, which is very useful for both beginners and advanced users.
• Community and Ecosystem
  FastAPI has a growing community and ecosystem, with many plugins and integrations available to extend its functionality.

Possible disadvantages

• Learning Curve for Asynchronous Programming
  Although FastAPI itself is easy to learn, grasping the concepts of asynchronous programming in Python can be challenging for beginners.
• Complex Dependencies
  Using Pydantic for advanced validation can make the request models complex, requiring a deeper understanding of Pydantic and its functionalities.
• Early Stage Libraries
  Some third-party libraries and extensions specifically tailored for FastAPI might still be in early stages of development and lack long-term stability.
• Limited Real-World Examples
  Although the documentation is extensive, there might be limited real-world examples and case studies readily available compared to more mature frameworks.
• Deployment Complexity
  Deploying FastAPI applications might be more complex in comparison to traditional synchronous frameworks, mainly due to the need for asynchronous server setups.

Finding and Fixing Apache Struts CVE-2017-5638 with Black Duck Hub

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