Django development
Django development company
Django platforms built so the ORM, the migrations, and the admin still work for you at scale.
- 40+AI systems shipped to production
- 3.5×Median speed-up vs. in-house build
- 99.9%Uptime across deployed models
Django development services
Django's reputation is speed to first release, and it earns it. The harder problem is year three, when the models have grown, the migrations are risky, and every view knows too much. Our Django development services are built around the second problem, because the first one mostly solves itself.
Content platforms with Wagtail
Editorial workflows, structured page models, and previews that editors actually use. Where content is the product rather than a section of it, Wagtail is the right layer on top of Django.
Learn moreDjango upgrades and legacy modernization
Django 2.x and 3.x applications, unsupported Python versions, and dependency trees where half the packages are abandoned. We sequence the upgrade so the system stays shippable throughout, and you get the assessment whether or not you continue with us.
Learn moreOur Django development stack
You've chosen Django, so the useful questions are the ones inside it.
DRF or Django Ninja
DRF when the API is large, the team is familiar with it, and you need the ecosystem of third-party packages built around it. Ninja when you want async views, Pydantic schemas, and less ceremony per endpoint. Ninja is the better new-project default for API-first systems. DRF is the safer answer for teams already fluent in it.
HTMX or a separate frontend
Django templates with HTMX give you interactive interfaces without a second codebase, a second language, or a second team. This is the highest-leverage decision on most Django projects and it is usually made by default rather than deliberately. A separate React or Vue frontend when there is a mobile client too, or when the interface genuinely warrants it.
Celery and Postgres
Celery for anything outside the request. Redis as broker for most workloads, with idempotent tasks and monitoring from the first release rather than after the first silent failure. Postgres, effectively always — Django's Postgres-specific features are worth more than database portability you will never use.
Framework
Django LTS
Python 3.12+- Django REST Framework
- Django Ninja
- Wagtail
Frontend
- Django templates
HTMX
Alpine
React
Vue
Async
Celery
Redis- Django Channels
- ASGI
Data
PostgreSQL- Redis
Elasticsearch- django-storages
Infra
Docker
Kubernetes
AWS
GCP
GitHub Actions
Quality
pytest-django- factory_boy
ruff
- mypy
Sentry
Django application architecture
Django gets you to production quickly and then charges interest. Four decisions determine what that interest costs.
Where business logic lives
Django's convention is fat models, and it works well until a model reaches four hundred lines and every save has three side effects nobody can trace. We keep orchestration out of models and views both, in a service layer that can be tested without a request or a database fixture. Not on day one for a small app. Before the second team joins, always.
Migrations as a production event
This is the part almost nobody writes about, and it is where Django systems break during deploys rather than in development. A dropped column breaks the old code still running during a rolling deploy. A new index locks writes unless it's created concurrently. A rename is two deploys, not one. We write migrations as backwards-compatible steps, separate schema changes from data changes, and test them against a copy of production volume rather than an empty database.
The ORM boundary
Querysets are lazy, which means a query written in a view can be completed in a template that has no idea what it costs. One missing select_related inside a loop becomes hundreds of queries and stays invisible until the dataset grows. We set query budgets per view, assert against them in tests, and use only and defer where a table is wide.
How far the admin goes
The Django admin is a genuine advantage for internal operations and a trap as a product surface. We push it hard for staff tooling, and we stop before it becomes the thing customers log into. Knowing where that line is saves months at both ends.
Request path
01
Views & templates
Thin handlers, HTMX where it fits
02
Service layer
Orchestration outside models and views
03
ORM + PostgreSQL
Query budgets, select_related, defer
04
Celery workers
Idempotent tasks outside the request
Django development across industries
Domain logic differs by sector. The ORM's failure modes do not.
Content and publishing
Editorial workflows, scheduled publishing, structured content models, and previews editors trust. Wagtail on Django gives you a CMS your team can extend rather than work around, which matters when the content model is specific to your business.
Explore Content
Education and learning platforms
Cohorts, course structures, progress tracking, and assessments. Django's permission system maps cleanly onto the role complexity these platforms accumulate, and the admin gives course operations a working interface early rather than as a phase two.
Explore Education
Healthcare
Patient administration, clinical workflow, and integrations with record systems already in place. Audit trails and access rules enforced at the data layer, so a new integration cannot route around them.
Explore Healthcare
Marketplaces and two-sided platforms
Supply and demand sides with different permissions over shared objects, plus commission logic, payouts, and dispute handling. Object-level permissions are where these systems usually get it wrong, and Django gives you the tools to get it right.
Explore Marketplaces
Data and analytics platforms
Where the interface sits on top of a real pipeline. Django serving the application while pandas, Celery, and the warehouse do the work behind it, in one language across both halves.
Explore DataPlan your Django project
Bring us the platform you're building, or the Django application that got slow and nobody can say why. Discovery takes one to two weeks and produces an architecture proposal and a fixed estimate.
You keep the document either way.
Django development cost factors
We scope from the constraint, not from a price list. Five things move the number on a Django build. Discovery produces a fixed estimate. You see the number before you commit to the build.
Where the frontend boundary sits
Django templates with HTMX and a separate React frontend are different projects with different budgets and different team shapes. Decided in architecture, not assumed at the quote.
Permission complexity
Model-level permissions are close to free. Object-level and row-level rules with per-tenant variation are real engineering, and they are the most commonly underestimated part of a Django scope.
Your current Django version
A Django 5.x application and a Django 2.2 application on an unsupported Python are different engagements. Upgrade cost sits mostly in abandoned third-party packages.
Data volume against existing query patterns
On performance work, cost is in profiling and in the queries nobody knew were there rather than in writing new code.
Who operates it after launch
A system your team runs needs different documentation and tooling than one we maintain.
When Django is the wrong choice
We would rather tell you now than three months in. Note that all four of these stay inside Python.
A pure API with no admin and no ORM needs
If you are serving model inference or building a high-throughput service with no relational domain behind it, Django's batteries are weight you carry for nothing. FastAPI.
A single small service
One endpoint doing one job does not need Django's project structure. Flask or FastAPI, deployed in an afternoon.
Sustained real-time at high connection counts
Django Channels handles moderate broadcasting well. Tens of thousands of persistent connections is a different problem, and Node.js is the more natural fit. Node.js web development.
A team that will not maintain Python
The best framework is the one your engineers can work in without us.
If you are still deciding between Python frameworks rather than committed to Django, our Python web development services page covers that choice properly.
Django development engagement models
All three carry the same handover terms. Source, infrastructure, and documentation are yours throughout, and you have repository access from the first sprint.
Fixed scope
Defined requirements, agreed deliverables, a fixed price. Best when the problem is well understood and the boundary is clear. You know the total before work starts, and change requests are priced separately rather than absorbed silently.
Variable scope
Sprint-based delivery with priorities set at each sprint boundary. Best when discovery is ongoing or requirements will move. Usually the right shape for performance and upgrade work, where the second week teaches you what the first could not.
Staff augmentation
Our Django engineers working inside your team, under your process and your management. Best when you have the direction and need capacity. Engineers stay with your project rather than rotating.
Our Django development process
A defined path from technical scope to handover, with repository access from the first sprint.
Choosing a Django development agency
Most Django development agencies can build the first version. Fewer can tell you how they write a migration that survives a rolling deploy, where they put business logic once models get large, or how they stop the admin becoming a product. Ask those three questions of any Django development company you're evaluating.
The honest case for an in-house hire: if this platform is your core product and needs continuous work for years, hire. We will say so on the call. Our work is strongest when you need senior Django capacity now, when an upgrade or performance engagement has a defined end, or when your team needs the first version built properly and then handed over.
| Criterion | Xorora | In-house hire | Freelancer |
|---|---|---|---|
| Time to start | 1–2 weeks | 8–14 weeks to hire | 1–3 weeks |
| Senior Django availability | Immediate | Scarce at senior level | Wide quality spread |
| Architecture review | Included | Depends on the hire | Rarely |
| Continuity if someone leaves | Team-backed | Single point of failure | Single point of failure |
| Upgrade path maintained | Yes | Depends | Rarely |
| Source and infra ownership | Yours | Yours | Negotiate |
- Xorora
1–2 weeks
- In-house hire
8–14 weeks to hire
- Freelancer
1–3 weeks
- Xorora
Immediate
- In-house hire
Scarce at senior level
- Freelancer
Wide quality spread
- Xorora
Included
- In-house hire
Depends on the hire
- Freelancer
Rarely
- Xorora
Team-backed
- In-house hire
Single point of failure
- Freelancer
Single point of failure
- Xorora
Yes
- In-house hire
Depends
- Freelancer
Rarely
- Xorora
Yours
- In-house hire
Yours
- Freelancer
Negotiate
Django development FAQs
Ask three questions. How do they write migrations that survive a rolling deploy. Where does business logic go once models get large. How far do they push the Django admin before it becomes a liability. Those answers tell you whether you are hiring people who maintain Django systems or people who hand them over and move on. Also ask who owns the source and infrastructure after launch.
Power your next digital move.
Tell us what you're building, or what's got slow. We will tell you what it takes, what it costs, and whether Django is the right call.
Most conversations start with a 30-minute technical call. No deck.