Django development services
Django gives you an ORM, an admin, authentication and security defaults on day one. For data-heavy products with an internal team that needs to manage records, that head start is hard to argue with.
Where we use Django
Django is part of the stack on these 2 services. Each page covers how we work, what you get and what it costs to start.
Django in practice
Django is the opposite of assembling a backend from parts. The ORM, migrations, authentication, permissions, admin and security defaults arrive together and have been hardened over nearly two decades. For a product built around structured records — users, orders, documents, relationships — that head start is measured in months, not days.
The admin deserves its reputation. From the first model you have a working internal interface, which means the operations team can start using the system long before anyone budgets for a back office. It is not a customer-facing interface and should never be treated as one, but as internal tooling it removes a whole workstream that most projects underestimate.
What we build with Django
Products built around structured records and relationships, where the ORM and migrations carry most of the weight.
The Django admin turns operational tooling from a project into a configuration task.
Django REST Framework services with serialisation, permissions and pagination already solved.
Is Django right for you?
Ask usA good fit when
- The product is built on structured, relational data with real constraints
- An internal team needs to view and edit records from day one
- Security defaults matter and you would rather not assemble them yourself
- Python is already in the stack for data or AI work
Probably not when
- The deliverable is a lean, high-throughput API and nothing else — FastAPI is the better shape
- The product is real-time first, built on persistent connections
- The team is JavaScript-only and adding Python means adding an operational skill set
- You need the flexibility of a schemaless data model for genuinely variable records
What we run alongside Django
The rest of the setup, and why each piece is there. We keep this list short on purpose — every dependency is something someone has to maintain.
- Django REST Framework
- Serialisation, permissions and pagination already solved for the API layer.
- PostgreSQL
- The pairing Django is happiest with — its ORM exposes Postgres features properly.
- Celery + Redis
- Background jobs and scheduled tasks, kept out of the request cycle.
- pytest + factory_boy
- Tests that are quick to write, which is what makes them get written.
- django-environ
- Configuration from the environment, so settings stop being edited per deployment.
- Sentry
- Errors with request context attached, which turns bug reports into stack traces.
Why Django
Let’s talkSecure defaults
CSRF, SQL injection and XSS protections are on by default rather than being something a developer must remember.
Migrations that behave
Schema changes are versioned and reversible, which is what makes long-running projects safe to evolve.
The admin is free leverage
A usable internal interface exists from the first model, months before anyone budgets for one.
What we get called in to fix
Get a second opinionN+1 queries
A page issuing hundreds of queries because a relation is loaded in a loop. select_related and prefetch_related usually cut page time by an order of magnitude.
Fat models, fat views
Business logic spread between both until nothing can be tested in isolation. Extracting a service layer makes the domain visible again.
Migrations nobody can run
Branches with conflicting migration histories, or migrations that lock a large table in production. Both are avoidable with a defined process.
The admin exposed too widely
Staff accounts with more power than the role requires. Permissions and scoped querysets bring it back in line.
Django or the alternative
The comparisons we are actually asked to make, answered the way we would answer them on a call.
Django when you want the full framework, an ORM and an admin. FastAPI when the deliverable is a typed, well-documented API and the extra machinery would only be weight.
Very similar in spirit. Choose by team and ecosystem: Python if data or AI work is nearby, PHP if hosting economics and existing skills point that way.
Django for record-heavy products with a strong data model. Node when real-time behaviour or sharing code with the frontend is the bigger win.
Django works well with:
JavaScript
Laravel
MongoDB
MySQL
Node.js
PHP
PostgreSQL
Python
React
Vue
AngularGot an idea? Let’s make it real.
Tell us the short version
This could be the first step towards a new and successful collaboration. A one-line idea and a finished spec are both fine — tell us the problem, the deadline you’re working to and what’s in your way.
Keep looking
Frequently asked questions
Django when you want the full framework and an admin. FastAPI when the deliverable is a lean, typed API and nothing more.
For internal staff, yes, with permissions configured. For customers, no — that needs a real interface.
Yes. It is a comfortable host for Python AI code, though heavy inference belongs in a separate worker.
No. It is an internal tool with internal assumptions. Customer-facing work needs a real interface built for the job.
Yes, with the usual discipline: query hygiene, caching and background workers. The framework is rarely the ceiling — the database access pattern usually is.