Django, FastAPI and Flask are the three Python web frameworks most teams choose between. Each is strong at a different kind of work, and the wrong pick costs you months later. This guide compares them by app type, team and long-term maintenance, with migration paths and a sample stack for each.
Pick Django for full-stack web apps with an admin panel, forms and user accounts. Pick FastAPI for APIs, async workloads and anything that needs automatic OpenAPI docs. Pick Flask for small apps, prototypes and existing Flask codebases. All three run on a VPS; Django and Flask also run on our cPanel and DirectAdmin shared hosting through the Python app tool.
1. The three in one paragraph each
Django is "batteries included": ORM, migrations, admin panel, authentication, forms, templates and a test framework in one package. It suits content-heavy sites, dashboards and internal tools. It has supported async views since Django 3.1 (2020) and async ORM methods since 4.1, but most Django code and most third-party apps are still synchronous.
FastAPI is an async-first API framework built on Starlette and Pydantic. It validates requests from type hints and generates OpenAPI documentation automatically. You choose the database layer, templates and auth yourself.
Flask is a microframework: routing, request handling and Jinja templates, and you add everything else from extensions. It gives maximum flexibility and little structure, which suits small projects and prototypes.
2. Decision matrix
| Need | Best pick |
|---|---|
| Full-stack web app with an admin panel | Django |
| REST API only | FastAPI |
| Async webhooks, real-time features, ML inference | FastAPI |
| Small script, prototype or simple dashboard | Flask |
| Large team with many developers joining | Django (conventions make onboarding easier) |
| Frontend in React, Vue or another SPA | FastAPI (clear API contract) |
| Lots of forms and CRUD screens | Django (ModelForms and the admin) |
| Chat, server-sent events, WebSockets | FastAPI (async-native) |
| Server-rendered pages | Django templates |
| Auto-generated API documentation | FastAPI (OpenAPI built in) |
3. Performance: what actually matters
For a trivial "hello world", an async FastAPI app on Uvicorn usually handles more requests per second than Flask or Django on Gunicorn, and the gap widens when handlers wait on databases or other services. Once real database queries, templates and business logic are involved, the difference shrinks, and query design, connection pooling and caching matter far more than the framework.
| Workload | Django | FastAPI | Flask |
|---|---|---|---|
| Simple JSON endpoint | Good | Fastest | Good |
| Many concurrent I/O-bound requests | Fair (mostly sync) | Best (async) | Fair (sync) |
| Server-rendered pages with a database | Good | Good | Good |
| CPU-heavy work in the request | Same for all: move it to a background worker | Same | Same |
Published benchmarks vary widely with the setup, so measure your own app with a load-testing tool such as wrk, k6 or Locust on the server you will actually use before choosing a framework for speed alone.
4. When each one wins
Django
- Content sites such as blogs, news and magazines.
- Internal tools and back offices: the admin panel gives you CRUD screens for free.
- Forms-heavy apps such as invoicing and HR systems.
- E-commerce with a custom backend (Saleor and Oscar are built on Django).
- Multi-tenant SaaS, for example with
django-tenants.
FastAPI
- Public REST APIs and backends for single-page apps and mobile apps.
- ML model serving, where many inference examples use FastAPI.
- WebSocket apps such as chat and live dashboards.
- Webhook receivers and microservices with many outbound calls.
Flask
- Prototypes and teaching.
- Data dashboards (Plotly Dash is built on Flask).
- Small single-purpose services.
- Existing Flask codebases: don't rewrite a working app without a reason.
5. Migrating between them
Flask to FastAPI (common)
Route handlers translate fairly directly:
# Flask
@app.route("/users/<int:user_id>")
def get_user(user_id):
user = db.session.get(User, user_id)
return jsonify(user.to_dict())# FastAPI
@app.get("/users/{user_id}", response_model=UserOut)
async def get_user(user_id: int, session: AsyncSession = Depends(get_session)):
user = await session.get(User, user_id)
return userThe main changes:
- decorators are per HTTP method (
@app.get,@app.post); - you return Pydantic models or dicts instead of calling
jsonify; - dependencies come through
Depends(...)instead of Flask'sgobject; - handlers can be
async def, but only if everything they call is async too.
SQLAlchemy 2.x supports both sync and async sessions, so you can keep your models and migrate route by route.
Django to FastAPI (usually don't)
Django's admin, ORM and forms are deeply integrated. If a Django app needs an API, add Django REST Framework or django-ninja (FastAPI-style syntax on Django) instead. For a new, API-only service, start with FastAPI.
Flask to Django (rare)
Usually unnecessary. Do it only if you need Django's admin and conventions badly enough to justify a rewrite.
6. Sample stacks for 2026
Check each project's release notes for the current version before you start; prefer a Django LTS release for long-lived projects.
Django:
Django (current LTS) + PostgreSQL + Redis (cache, sessions)
+ Celery for background jobs
+ Django REST Framework or django-ninja for APIs
+ django-allauth (social login)
+ django-htmx for dynamic pages without an SPA
+ Tailwind CSSFastAPI:
FastAPI + PostgreSQL + SQLAlchemy 2 (async) with asyncpg + Alembic
+ Pydantic 2 for schemas
+ Celery, Arq or Dramatiq for background jobs
+ PyJWT for tokens
+ SlowAPI for rate limitingSee our FastAPI production deployment guide.
Flask:
Flask 3 + PostgreSQL + SQLAlchemy 2 + Flask-Migrate
+ Flask-Login (auth)
+ Flask-WTF (forms)
+ Celery or RQ for background jobs7. Deployment patterns
On a VPS, all three follow the same pattern:
- an app server: Gunicorn for Django and Flask (WSGI), Uvicorn or Gunicorn with Uvicorn workers for FastAPI (ASGI);
- a systemd service to keep it running;
- nginx as a reverse proxy;
- a Let's Encrypt certificate.
Django and FastAPI can also live side by side, sharing one database:
/api/ -> FastAPI on 127.0.0.1:8000
/admin/ -> Django on 127.0.0.1:8001This is a valid pattern: use the Django admin internally and ship a FastAPI public API. For Django specifically, work through our Django production deployment checklist.
8. Common pitfalls
Django
aget, acreate, async iteration) or wrap sync code with sync_to_async.DEBUG = False and ALLOWED_HOSTS.select_related and prefetch_related, and check queries with the debug toolbar.FastAPI
def so FastAPI runs it in a thread pool.Flask
app.run() is for development only. Use Gunicorn.9. Running these frameworks on Domain India
- Shared hosting (cPanel and DirectAdmin): the Python app tool runs WSGI apps through Passenger, which suits small Django and Flask sites. FastAPI is an ASGI framework and async servers such as Uvicorn are not how that tool runs apps, and shared plans have no Redis or long-running background workers. See how to deploy a Python app on shared hosting.
- App Platform: Node.js is detected automatically; a Python app needs a Dockerfile. The App Platform does not support WebSockets, so use a VPS for FastAPI apps that rely on them. See getting started with the App Platform.
- VPS: full root access for Gunicorn or Uvicorn, systemd, nginx, PostgreSQL, Redis and Celery. Our VPS plans are self-managed: you install and maintain the software yourself.
- 1 vCPU
- 2 GB DDR4 RAM
- 64 GB NVMe SSD Storage
- 2 TB Monthly Bandwidth
The plan card shows the Domain India list price, excluding 18% GST.
Frequently asked questions
Which Python web framework is growing fastest?
FastAPI has grown fastest in recent years, especially for APIs and machine-learning services. Django and Flask are mature, stable and still very widely used, and Django remains the common choice for full-stack web apps.
Is async everywhere worth the complexity?
For APIs that spend most of their time waiting on databases, caches and other HTTP services, yes. For CPU-bound work or simple apps, synchronous code is easier to write and debug and performs well enough.
Can I use the Django ORM with FastAPI?
It is possible, but it is awkward: you must set up Django inside FastAPI and handle sync calls carefully. SQLAlchemy 2 with an async driver fits FastAPI better. If you want Django's ORM with a FastAPI-style API, use django-ninja inside Django.
Is Starlette simpler than FastAPI?
Starlette is the ASGI toolkit FastAPI is built on. It is smaller, but you would rebuild validation and documentation that FastAPI already gives you. Use FastAPI unless you have a specific reason not to.
What about Quart, Sanic and Litestar?
Quart is an async version of the Flask API, Sanic is an early async framework, and Litestar is a FastAPI-like framework with a different design. All are usable; FastAPI has the largest ecosystem, so choose another only for a clear reason.
Can I run Django or Flask on Domain India shared hosting?
Yes, small Django and Flask apps run on our cPanel and DirectAdmin shared hosting through the Python app tool, which serves them as WSGI apps. Apps that need async servers, Redis or long-running background workers need the App Platform or a VPS.
Ready to deploy? Try a small app on shared hosting, compare our VPS plans, or open a support ticket if you are not sure which fits.
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