Django development

Django development company

Django platforms built so the ORM, the migrations, and the admin still work for you at scale.

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  • 40+AI systems shipped to production
  • 3.5×Median speed-up vs. in-house build
  • 99.9%Uptime across deployed models
What we build

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.

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Django 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.

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Tech & tools

Our 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 logoDjango LTS
  • Python 3.12+ logoPython 3.12+
  • DRDjango REST Framework
  • NJDjango Ninja
  • WGWagtail

Frontend

  • DTDjango templates
  • HXHTMX
  • ALAlpine
  • React logoReact
  • Vue logoVue

Async

  • Celery logoCelery
  • Redis logoRedis
  • CHDjango Channels
  • ASASGI

Data

  • PostgreSQL logoPostgreSQL
  • Redis logoRedis
  • Elasticsearch logoElasticsearch
  • STdjango-storages

Infra

  • Docker logoDocker
  • Kubernetes logoKubernetes
  • AWS logoAWS
  • GCP logoGCP
  • GitHub Actions logoGitHub Actions

Quality

  • pytest-django logopytest-django
  • FBfactory_boy
  • rfruff
  • mymypy
  • Sentry logoSentry
How we design

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.

How we ship

Our Django development portfolio

Same multi-portal pattern as our Python web work — written here from the Django depth that buyers searching for specialists actually care about.

Multi-tenant SaaS · Django ORM

Four portals. One permission model.

Distinct user groups needed different views of the same objects and different rights over them. Four applications would mean four permission systems and the same role rules rewritten four times. Drift is inevitable.

We built one Django backend with role-based portals on top. Object-level permissions live in the ORM and resolve at the data layer, so a rule written once applies everywhere it should. The admin stays staff-facing; customers never log into it.

That is the Django-specific work behind the multi-portal shape — permissions and role models structured so the second team can extend access without forking the backend.

Migrations & deploy safety

Schema changes that survive a rolling deploy

On long-lived Django platforms we treat migrations as production events: backwards-compatible steps, schema separated from data, rehearsed against production volume. That discipline is what keeps upgrades shippable instead of becoming a freeze.

See our work
Discovery

Plan 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.

Plan your Django project — technical discovery call
Scoping

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.

Django development cost factors — production infrastructure

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.

How we engage

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.

How we work

Our Django development process

A defined path from technical scope to handover, with repository access from the first sprint.

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How to choose

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.

CriterionXororaIn-house hireFreelancer
Time to start1–2 weeks8–14 weeks to hire1–3 weeks
Senior Django availabilityImmediateScarce at senior levelWide quality spread
Architecture reviewIncludedDepends on the hireRarely
Continuity if someone leavesTeam-backedSingle point of failureSingle point of failure
Upgrade path maintainedYesDependsRarely
Source and infra ownershipYoursYoursNegotiate
Time to start
  • Xorora

    1–2 weeks

  • In-house hire

    8–14 weeks to hire

  • Freelancer

    1–3 weeks

Senior Django availability
  • Xorora

    Immediate

  • In-house hire

    Scarce at senior level

  • Freelancer

    Wide quality spread

Architecture review
  • Xorora

    Included

  • In-house hire

    Depends on the hire

  • Freelancer

    Rarely

Continuity if someone leaves
  • Xorora

    Team-backed

  • In-house hire

    Single point of failure

  • Freelancer

    Single point of failure

Upgrade path maintained
  • Xorora

    Yes

  • In-house hire

    Depends

  • Freelancer

    Rarely

Source and infra ownership
  • Xorora

    Yours

  • In-house hire

    Yours

  • Freelancer

    Negotiate

Good to know

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.

See our work