Product
Django REST APIs
Full-featured Django REST Framework APIs with serialisers, permissions, filtering, and OpenAPI documentation generation for product and partner clients.
Python & Django Development — Robust Backends and Intelligent Data Systems
We build Python backends with Django, FastAPI, and Celery — for REST APIs, AI integrations, data processing pipelines, and complex business logic that benefits from Python's scientific ecosystem.
40+ Python projects delivered | Django, FastAPI, Celery, PostgreSQL, AI/ML
- Projects delivered
- 0+
- Clients worldwide
- 0+
- Client satisfaction
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Projects delivered
Clients worldwide
Client satisfaction
Avg first response
WHY CODEFLAMME
- Production-grade architecture from day one
- TypeScript, testing, and accessibility built in
- Dedicated engineers — no freelancers or hand-offs
- NDA protected | reply within 24 hours
RESPONSE TIME
< 24h
We reply to every inquiry within one business day with a structured plan.
What We Build
What We Build With Python / Django Development
Production applications across product types — scoped to your users, stack, and growth stage.
6 product types — compare what we ship with Python / Django in production.
- Platform
FastAPI Services
High-performance async Python APIs for AI model serving, data processing endpoints, and microservices requiring low latency without Django's full stack.
- SaaS
AI/ML Integration Backends
Python backends integrating OpenAI, LangChain, TensorFlow, and custom ML models into production API services with queue-backed inference where needed.
- Commerce
Data Processing Pipelines
Celery-based async task queues, Apache Airflow DAGs, and data transformation pipelines for ETL and business intelligence workloads.
- Internal
Scientific & Research Applications
Data analysis platforms, genomic processing tools, and scientific computing applications leveraging NumPy, Pandas, and SciPy in a deployable service layer.
- Design
HIPAA & Compliance-Sensitive APIs
Django-based healthcare and fintech APIs with field-level encryption, comprehensive audit logging, and compliance controls baked into the request path.
WHY CODEFLAMME
Not Another Offshore Vendor
We know the hesitation. Here's exactly how we're different.
You Talk to the People Building It
No account managers relaying messages. You're in direct contact with the founder and senior engineers on your project — every sprint, every decision.
No Bench Rotation
The team that scopes your project is the team that ships it. We don't swap engineers mid-project to free them up for someone else.
NDA Before We Talk Details
Your idea and IP are protected from the first real conversation — not after contracts are signed.
Full IP, Zero Strings
Every line of code, every design file, transfers to you on delivery. No licensing, no retained rights, no surprises.
Our Capabilities
Our Python / Django Development Services
Core delivery areas for Python / Django — architecture, implementation, and production hardening.
- 01
Django ORM & Database Design
Django model design, database migrations, query optimisation with select_related/prefetch_related, and custom QuerySets.
- 02
Django REST Framework (DRF)
ViewSet architecture, custom serialisers, permission classes, throttling, and filtering for scalable DRF APIs.
- 03
FastAPI & Async Python
Async endpoint design with Pydantic v2, dependency injection, background tasks, and OpenAPI auto-documentation.
- 04
Task Queues & Background Jobs
Celery with Redis or RabbitMQ for background processing, scheduled tasks, email delivery, and long-running operations.
- 05
Authentication & Security
Django Allauth, JWT with SimpleJWT, OAuth2, and role-based permission systems for Python APIs.
- 06
Testing
pytest, factory_boy, and coverage.py for comprehensive Python test suites with high coverage targets.
When to Choose
When Python / Django Development Is the Right Choice
Decision scenarios where Python / Django is the strongest fit — and why it earns the recommendation.
SCENARIO 01
Primary use case
You are building AI/ML-heavy applications
Python has the definitive AI/ML ecosystem. When your backend needs to integrate TensorFlow, PyTorch, or scientific libraries, Python is the practical default over Node or Go.
02
Scenario
You need rapid development with a batteries-included framework
Django provides ORM, admin, auth, forms, and more out of the box — among the fastest ways to ship a fully-featured web application with an internal ops UI.
03
Scenario
You are working with data science teams
Python is the lingua franca of data science. Python backends eliminate the language boundary between data science notebooks and engineering services.
04
Scenario
You need async, high-performance APIs
FastAPI delivers strong I/O performance for async services, with Python's ecosystem available throughout — useful when Django's sync request path is the wrong fit.
In Practice
How We Use Python & Django on Real Builds
Backend shapes we deliver in Python, when Django vs FastAPI wins, and how frontends and cloud hosting connect.
Python work at CodeFlamme covers DRF APIs for SaaS and regulated domains, FastAPI services for model serving and async I/O, Celery pipelines for exports and ETL, and admin-heavy internal tools that lean on Django's batteries. We also wire LangChain or provider SDKs behind authenticated endpoints when products need retrieval or generation without rebuilding the data plane, keeping inference and business rules in clear service boundaries.
Django is the right choice when admin, ORM, and auth should ship early; FastAPI when latency and async matter more than a full framework. Node.js remains preferable for chatty real-time gateways. Frontends are often React dashboards or portals; production hosts typically land on AWS with PostgreSQL, Redis, object storage, and containerised workers for background jobs. OpenAPI clients keep those React apps typed against the same schemas the backend enforces at request time. Celery task signatures and retry policies are versioned alongside the API so workers and webhooks stay compatible across deploys.
- 01
React
Most Python APIs we ship feed React admin portals and SaaS UIs over REST or typed clients generated from OpenAPI.
- 02
AWS
Django and FastAPI services commonly run on ECS or EC2 with RDS, ElastiCache, and S3 for media and artifact storage.
- 03
Custom Software
Python backends are frequently the core of custom product builds — domain models, workflows, and integrations owned end to end.
Complementary Stack
The Stack We Use Alongside Python / Django Development
The tools we pair with Python / Django in production — organised by layer, not hype.
LAYERS
06
TOOLS
28
01
STACK_LAYER
ORM
05
STACK_LAYER
AI/ML
06
STACK_LAYER
Database
FAQ
Frequently Asked Questions
Can't find what you need? Talk directly with our team.
Book a Discovery CallDjango for applications needing full-stack features and rapid development. FastAPI for high-performance async APIs, AI model serving, or microservices where Django's overhead is unnecessary.
Ready to build something powerful?
Tell us what you are building. We will respond within 24 hours with a clear, honest assessment — no pressure, no sales pitch.
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