Skip to content
all posts

9 Nov 2026 · Python · 3 min

Flask vs Django vs FastAPI: which Python framework should you use?

I've worked with Flask, Django and FastAPI. Here's how they differ in speed, structure and learning curve, and which one I'd pick for your next project.

If you’re learning Python web development, one question comes up fast: which framework should you learn? For most people it comes down to Flask vs Django vs FastAPI. I’ve built with all three, and the honest answer is that it depends on what you’re making. Here’s how I choose.

Flask: small, flexible and quick to start

Flask is a micro-framework. It gives you routing, request handling and Jinja templates, then lets you pick everything else, such as the database layer and login system. I built myPowervision, a job and schedule manager, in Flask, for the simplest reason: it was the framework I knew best at the time. The trade-off: you make more decisions yourself, and a big Flask app needs discipline to stay organised.

Django: everything included

Django ships with an ORM, database migrations, user authentication, forms and an admin panel. That makes it a strong choice for large apps with many users and standard needs. The cost is a steeper learning curve and a fixed project structure to learn before you’re productive.

FastAPI: built for modern APIs

FastAPI uses Python type hints and Pydantic to validate data, supports async code, and generates interactive API docs automatically. It has no built-in ORM or admin panel, so it’s usually paired with a separate front end such as React. I used it for CogniAdapt, an education platform I built for a Microsoft competition.

What about speed?

Under many simultaneous requests, FastAPI’s async design usually wins. For most student and small-business projects, all three are fast enough, so pick on structure and fit instead.

Question Flask Django FastAPI
Best for Small to medium apps, learning Large, full-featured web apps APIs for web and mobile clients
Built in Routing, Jinja templates ORM, auth, admin, forms, migrations Validation, async, automatic API docs
Async support Partial Partial Built in
Learning curve Gentle Steeper Gentle if you know type hints

Flask vs Django vs FastAPI: my rule of thumb

  • Learning web development or building a small tool? Start with Flask.
  • Building a large app with logins, content and an admin team? Choose Django.
  • Building an API for web and mobile apps? Choose FastAPI.

What I’d pick for myPowervision today

If I started myPowervision again, I wouldn’t pick Flask. I’d build it with FastAPI and React: a FastAPI back end that serves the jobs and schedules as an API, and a separate React front end for the screens.

That split gives a scheduling tool three things:

  • One clear contract. The API is described once, with type hints and validation, and FastAPI generates its documentation automatically.
  • A livelier interface. A React front end can update a schedule on screen without reloading the whole page.
  • Room to grow. The same API could later serve a mobile app without rewriting the back end.

That isn’t a verdict against Flask. Knowing one framework well is how I got myPowervision built in the first place. FastAPI is simply what I’d reach for now that I’ve used it for CogniAdapt. The case study has the rest of the story.

Which framework did you start with? Tell me on LinkedIn, and see my projects for these frameworks in action.

Let's build something useful together.

Have a role, a project or a business idea in mind? I’d love to hear about it.

contact me