Django
The high-level Python web framework that encourages rapid development and clean, pragmatic design.

The lightweight Python micro-framework for modular web applications and AI inference serving.
Flask is a BSD-licensed micro web framework for Python, architected by the Pallets Project to provide a minimalist foundation for web application development. Unlike 'batteries-included' frameworks like Django, Flask prioritizes extensibility, allowing developers to choose their preferred database abstraction layers, form validation tools, and authentication mechanisms. In the 2026 landscape, Flask remains the industry standard for deploying lightweight AI/ML inference endpoints, serving as the primary 'thin wrapper' for LLM-based agents and RAG (Retrieval-Augmented Generation) architectures. Its core architecture is built upon the Werkzeug WSGI toolkit and the Jinja2 template engine. Technically, Flask leverages a thread-local context system to handle requests and provides a robust Blueprint system for modular application design. Its simplicity facilitates rapid prototyping while its performance characteristics enable high-concurrency microservices when deployed behind production-grade WSGI servers like Gunicorn or Nginx Unit. As of 2026, its ecosystem continues to thrive, particularly in the MLOps space where Flask is used to bridge complex Python logic with front-end React or Next.js interfaces via RESTful APIs.
Allows partitioning of the application into distinct components with separate templates and static files.
The high-level Python web framework that encourages rapid development and clean, pragmatic design.
Build high-performance, complex interactive dashboards and data-driven web apps entirely in Python.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Includes an interactive debugger and reloader for real-time development feedback.
Strict adherence to the Web Server Gateway Interface standard.
A modern, designer-friendly templating language for Python applications.
Utilizes thread-local variables to keep track of request-specific data without passing arguments to every function.
Hook-based architecture allowing for deep integration of third-party libraries.
Built-in test client for simulating requests and checking response codes/data.
Serving complex machine learning models (PyTorch/TensorFlow) as scalable REST APIs.
Registry Updated:2/7/2026
Return the result as a JSON response to the client.
Isolating the 'Payment Processing' or 'Inventory' logic from a monolithic frontend.
Standard CMS platforms (WordPress) often have too much overhead for simple static sites with dynamic components.