Artur Keraz’s Post

FastAPI vs Django I've built production systems with both. Here's when I reach for each. A few years ago I started a new project and defaulted to Django. It was familiar. It had everything built in. Three months later I was fighting the ORM, the admin, and the request lifecycle just to build a simple async API. That's when I switched to FastAPI. And it clicked immediately. But here's what I've learned after using both seriously: Django is not "old" and FastAPI is not "better". They solve different problems. → FastAPI when: - API-first service - async from day one - type safety and auto-generated docs - LLM or data pipeline integrations → Django when: - admin panel out of the box - full web product, not just an API - team already knows Django - you need battle-tested auth, ORM, migrations The mistake I see most often: People pick Django for a microservice or FastAPI for a product that needs 10 admin screens. Match the tool to the problem. Not to the hype. What's your default and why? #fastapi #django

Django vs FastAPI: When to Use What? As a developer, choosing the right backend framework can make a huge difference in performance, scalability, and development speed. Recently, I explored the differences between Django and FastAPI, and here’s a simple breakdown: 🔷 Django A powerful full-stack framework that comes with everything built-in authentication, ORM, admin panel, and more. 👉 Best for: Full web applications, dashboards, CMS, enterprise tools 🔶 FastAPI A modern, high-performance framework designed specifically for building APIs. 👉 Best for: Microservices, AI/ML APIs, real-time applications ⚔️ Quick Comparison ✔ Django → Structured, secure, “batteries-included” ✔ FastAPI → Fast, async, lightweight 💡 My Takeaway: - Use Django when you need a complete application with admin and structure. - Use FastAPI when performance and APIs are the priority. In many real-world projects, a combination of both works best, Django for the core app and FastAPI for high-performance services. Would love to hear from others, what’s your go-to framework and why? 👇 #Python #Django #FastAPI #BackendDevelopment #SoftwareEngineering #WebDevelopment #AI

⚙️ Ever wondered what actually happens when you hit a Django API? You send a request. You get a response. But internally, Django follows a structured pipeline 👇 👉 1. Request hits the server (WSGI/ASGI) Django receives the HTTP request via WSGI (sync) or ASGI (async). 👉 2. Middleware kicks in Before your view runs, middleware can: Authenticate users Handle sessions Modify request/response 👉 3. URL Routing (urls.py) Django checks your URL patterns and maps the request to the correct view. 👉 4. View logic executes This is where your core logic lives: Process request data Call services Interact with models 👉 5. ORM interacts with Database Django ORM converts Python queries into SQL and fetches/saves data. 👉 6. Serializer / Template (if API or frontend) DRF → converts data to JSON Templates → render HTML 👉 7. Response travels back (again via middleware) Response passes through middleware and returns to the client. 💡 Simple flow: Client → Server → Middleware → URL → View → ORM → Response Why this matters 👇 Helps in debugging real issues Makes you confident in interviews Improves how you structure backend code I’m currently deep-diving into Django while building backend projects and understanding how things work under the hood. Let’s connect & grow together 🤝 #Django #Python #BackendDevelopment #WebDevelopment #Developers #LearningInPublic

FastAPI vs Django — I've worked with both and here's my honest take on when to use each: 🔷 Choose Django when: → You need a full admin panel out of the box → You want batteries-included (ORM, auth, migrations — all built in) → You're building internal tools where developer speed matters more than raw performance → The project will grow and needs structure from day one Django is reliable, mature and the ecosystem is enormous. Great for getting things running fast without reinventing the wheel. ⚡ Choose FastAPI when: → You're building microservices that need to be lightweight and fast → You want automatic API docs (Swagger/ReDoc) with zero extra setup → Async performance matters — high concurrency, real-time data, pipeline triggers → You're comfortable owning more of the architecture decisions FastAPI is my go-to when response time and clean API design matter more than a full framework structure. The honest truth? They solve different problems. Django = structure and speed of development. FastAPI = performance and flexibility. This isn't an either/or debate — it's about knowing which tool fits the problem. Which do you default to — and why? #Python #FastAPI #Django #BackendDevelopment #SoftwareEngineering #RestAPI

Imagine you walk into a library and ask for all books at once. The librarian dumps 5 million books in front of you. You can’t carry them. You can’t read them. You just created chaos. That’s exactly what happens when an API returns millions of records without pagination. 🚨 Pagination simply means: “Give me data little by little, not everything at once.” Instead of: GET /api/users → returns 5,000,000 users ❌ We do: GET /api/users?page=1&page_size=20 → returns only 20 users ✅ Why this matters: • Faster API responses ⚡ • Lower memory usage 🧠 • Reduced database load 🗄️ • Better frontend experience 📱 • Avoids crashes & timeouts 🚫 When working with Django & Django REST Framework, pagination isn’t optional once your data grows. It’s the difference between a scalable system and a breaking system. Rule of thumb: Small data → optional Growing data → recommended Millions of records → mandatory Cursor Pagination is usually the safest choice for large datasets. Design pagination from day one. Adding it later is always painful. #BackendDevelopment #Django #DjangoRestFramework #API #Pagination #Scalability #SoftwareEngineering

Ever wondered what happens before and after your Django view runs? 🤔 That’s where Middleware comes in. Think of middleware as a security guard + assistant sitting between the user request and your Django application. Here’s a simple way to understand it: 👉 A user sends a request ➡️ Middleware processes it (checks auth, logs data, etc.) ➡️ Django view handles it ⬅️ Response goes back through middleware ➡️ Middleware can modify the response 👉 Final response reaches the user 💡 In short: Middleware = a layer that can intercept, process, or modify requests and responses. Why is middleware powerful? Because you can handle things globally without touching every view: ✔️ Authentication & permissions ✔️ Logging requests ✔️ Security checks ✔️ Caching ✔️ Custom headers Example (in plain words): Imagine you build a website. Before any request reaches your logic, middleware can: - Check if the user is logged in - Reject suspicious traffic - Add extra data to the request And before sending the response: - Add headers - Compress data - Log the response Key takeaway: Middleware is like a pipeline every request and response flows through it. Once you understand this, you unlock a whole new level of control in Django 🚀 If you're learning Django, mastering middleware is a game-changer. What’s one middleware you’ve used or want to build? 👇 #django #webdevelopment #backend #python #softwareengineering

🚀 Everyone debates FastAPI vs Django… But honestly, most comparisons miss the REAL point. After building real production systems, here’s what actually matters 👇 ⚡ FastAPI is not just about speed It changes your backend mindset completely. 👉 Async-first thinking 👉 Designed for high I/O workloads 👉 Ideal for microservices & real-time APIs But the hidden truth: ❌ Without strong architecture, FastAPI projects become hard to manage ❌ Too much freedom = inconsistent code in teams 🏗️ Django is not slow — it’s structured It’s a complete backend ecosystem. 👉 Built-in ORM, Auth, Admin panel 👉 Opinionated structure = maintainable large codebases 👉 Best for long-term, scalable products But let’s be real: ❌ Overkill for small or simple APIs ❌ Synchronous nature can limit high concurrency use cases 🧠 What real production teaches you It’s NOT about choosing one over the other. It’s about using the right tool for the right problem. 👉 FastAPI → high-performance APIs & microservices 👉 Django → core business logic, admin, heavy data systems 💡 Smart engineering teams don’t compare… They combine. 🔥 Final Thought Framework choice doesn’t define a great backend engineer. 👉 Architecture thinking does 👉 Scalability understanding does 👉 Knowing trade-offs does 💬 What’s your real-world choice — FastAPI, Django, or both? #Python #Backend #FastAPI #Django #SystemDesign #SoftwareEngineering

#DjangoBolt may soon put an end to this debate, it's as promising as FastAPI. A gem for those who want to stay within the Django ecosystem. ℹ️ Grab what is suitable for your project #django #django-bolt #fastapi

Django vs FastAPI Django → Full-stack, batteries-included framework. Built-in ORM, admin panel, authentication — everything ready out of the box. Great when you want to ship fast without assembling your own stack. FastAPI → Lean, async-first API framework. Built around Python type hints and OpenAPI. Great when you need a decoupled, high-performance backend. The core difference: Django owns your architecture — it handles routing, templating, DB layer, and admin. FastAPI gives you a foundation — routing and validation, nothing more. Django is traditionally synchronous (WSGI). FastAPI is natively asynchronous (ASGI) — built for concurrency from day one. Why FastAPI is faster for APIs: Under heavy concurrent load, Django processes requests sequentially — each waits its turn. FastAPI handles thousands of simultaneous requests without blocking, because it doesn’t wait idle during DB queries or network calls. That’s the power of async I/O. When to use which: ✅ Use Django for: ∙ CMSs, e-commerce, MVPs ∙ Monolithic apps where a built-in admin saves you weeks ∙ Enterprise internal tools ✅ Use FastAPI for: ∙ ML model serving ∙ Microservices & real-time data pipelines ∙ Backend APIs for React/Vue etc frontends or mobile apps #Django #FastAPI #Python #WebDevelopment #BackendDevelopment

Choosing between Django, Flask, and FastAPI isn't really about the frameworks. It's about the problem you're solving. Each one has its place depending on the problem. Here's how I usually think about it. 🟢 𝗗𝗷𝗮𝗻𝗴𝗼 𝗕𝗲𝘀𝘁 𝗳𝗼𝗿: full-featured applications and fast product development. 𝗣𝗿𝗼𝘀: • batteries-included ecosystem • built-in admin panel • authentication, ORM, migrations • huge community 𝗖𝗼𝗻𝘀: • heavy for small services • less flexibility in architecture • not designed primarily for async workloads 👉 I usually choose Django when the goal is shipping a complete product quickly. 🟡 𝗙𝗹𝗮𝘀𝗸 𝗕𝗲𝘀𝘁 𝗳𝗼𝗿: lightweight services and custom architectures. 𝗣𝗿𝗼𝘀: • minimal and flexible • easy to start small • great for microservices 𝗖𝗼𝗻𝘀: • many things need to be built manually • ecosystem decisions fall on you • projects can become inconsistent without discipline 👉 I reach for Flask when simplicity and control matter more than structure. 🔵 𝗙𝗮𝘀𝘁𝗔𝗣𝗜 𝗕𝗲𝘀𝘁 𝗳𝗼𝗿: modern APIs and high-performance services. 𝗣𝗿𝗼𝘀: • async-first design • automatic OpenAPI documentation • strong typing with Pydantic • excellent performance 𝗖𝗼𝗻𝘀: • smaller ecosystem than Django • not ideal for full-stack apps • requires understanding async patterns 👉 I usually pick FastAPI when building APIs where performance and developer ergonomics matter. 𝗠𝘆 𝗴𝗲𝗻𝗲𝗿𝗮𝗹 𝗴𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲: Django → products Flask → small services FastAPI → modern APIs The real question is always: What problem are you solving and what constraints do you have? 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 𝗮𝗿𝗲 𝘁𝗼𝗼𝗹𝘀. 𝗖𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗼𝗻𝗲 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝗰𝗼𝗻𝘁𝗲𝘅𝘁, 𝗻𝗼𝘁 𝗽𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲. What framework do you usually reach for first? 🤔 #python #django #flask #fastapi #softwarearchitecture #backend #engineering