Web frameworks

Django vs FastAPI

Django has 3 supported release lines; endoflife.date doesn’t track FastAPI. Django 4.2 reached end of life on Apr 7, 2026. Both are open source: Django under BSD-3-Clause, FastAPI under MIT. OSV.dev lists 30 advisories from the last 12 months for Django and none for FastAPI.

Last checked against PyPI, deps.dev, endoflife.date, OSV.dev and CISA KEV.

Side by side

Every value links to its source. Where a row doesn’t apply to one of them, the cell says why.

Support and releases
DjangoFastAPI
Supported release lines

3 lines: 6.1, 6.0, 5.2 LTS

Next to end: 6.0 on Apr 30, 2027

endoflife.date

Not tracked by endoflife.date

Latest release

6.1.2

Released Oct 6, 2026

endoflife.date

0.143.3

Released Oct 16, 2026

PyPI

Releases in the last 12 months

31 releases

django on PyPI

PyPI

93 releases

fastapi on PyPI

PyPI

Security
DjangoFastAPI
Advisories published in the last 12 months

30, worst rated critical

For django

OSV.dev

None

For fastapi

OSV.dev

OpenSSF Scorecard

6.7 / 10

django/django, Aug 24, 2026

Scorecard

No Scorecard published

Licence and hosting
DjangoFastAPI
Licence

BSD-3-Clause

Open source (permissive)

deps.dev

MIT

Open source (permissive)

deps.dev

How you run it

Your own Python app server (WSGI or ASGI)

Your own Python app server (ASGI)

Adoption
DjangoFastAPI
GitHub stars

91.4K

django/django

GitHub

103K

fastapi/fastapi

GitHub

  • Advisory counts cover every version, old ones included, and a heavily used, well-audited project often has more. Check the versions you run with the dependency check.

Which fits your constraints

Read across for what matters to you. Each answer comes from the data above or the project’s licence and hosting options.

How Django and FastAPI fit common constraints
DjangoFastAPI
An open-source licence

Yes: BSD-3-Clause

Yes: MIT

A long support window

5.2 LTS is supported until Apr 30, 2028

Not tracked by endoflife.date

What each is good at

Django

High-level Python web framework with batteries included

Strengths

  • Comprehensive built-in features (ORM, admin, auth)
  • Secure by default (CSRF, SQL injection protection)
  • Excellent documentation and large community
  • Rapid development with code generation
  • Scalable for large applications

Trade-offs

  • Monolithic and opinionated
  • Slower than lightweight frameworks
  • Learning curve for beginners
  • Overkill for small APIs

Common uses

  • Content management systems
  • E-commerce platforms
  • Data-driven web apps
  • Enterprise applications

FastAPI

Modern Python framework for building APIs with type hints

Strengths

  • Extremely fast performance (on par with Node/Go)
  • Automatic API documentation (OpenAPI/Swagger)
  • Type hints for validation and IDE support
  • Async/await support out of the box
  • Easy to learn and use

Trade-offs

  • Younger ecosystem than Django/Flask
  • Less built-in features than Django
  • Fewer third-party integrations

Common uses

  • REST APIs
  • Microservices
  • Machine learning APIs
  • High-performance backends

From StackPrism’s curated notes. Pricing isn’t covered here: it changes often, so check each vendor’s pricing page.

When teams weigh these two

Both are Python. Django is a full web framework with an ORM, admin, authentication and templates included; FastAPI is a lighter framework for building APIs with type hints, automatic OpenAPI docs and async request handling. The question is usually whether you need a full web app or an API.

How this comparison works

Release lines and end-of-life dates come from endoflife.date, release counts from deps.dev’s publish dates, and advisories from OSV.dev, counted once per flaw even when it’s listed under several ids, and checked against CISA’s list of vulnerabilities known to be exploited. Status and incident history come from each vendor’s public status feed; licences from each project’s licence file or the vendor’s licensing page, linked in the table.

The data refreshes every few hours and the time it was checked is shown above. There’s no pricing and no overall winner: which one fits depends on your constraints. To see how the versions you actually run hold up, check your repo.

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