Django Development Company

Python Powers AI. Django Turns It Into a Product.

Python is the language of AI, data science, and machine learning. Django is the framework that turns Python into a production web application, with auth, admin, an ORM, migrations, security, and a package ecosystem that has been battle-tested for nearly two decades.

Django has 87.4K GitHub stars, approximately 46 million monthly PyPI downloads, and is used by Instagram, Pinterest, Spotify, Mozilla, Dropbox, NASA, and Disqus. The 2025 Stack Overflow Developer Survey puts Django at 12.6% of all respondents. Among Python web developers specifically, Django leads at 61% (JetBrains/PSF Python Developers Survey 2024). Django 6.0 shipped on December 3, 2025, with a built-in background tasks API, template partials, and Content Security Policy middleware.

EltexSoft is a boutique engineering studio. 35-50 senior engineers. We’ve been building production Django applications since 2015. Our clients include Boeing (via Authentise’s manufacturing execution system), BMW, WayUp ($28.8M funded, 3.5M+ users, acquired by Yello), and Nautical Commerce ($30M Series A, 200K+ monthly transactions). When companies search for a Django development company, they’re looking for teams that have shipped Django at scale and maintained it for years. That’s what we do.

What We Build in Django

Enterprise SaaS and Manufacturing Platforms

Data-heavy business applications where the data model is the product. Django’s ORM handles complex relational schemas cleanly, and the built-in admin interface gives operations teams immediate visibility without a separate frontend build.

Authentise is a manufacturing execution system (MES) for additive manufacturing. The platform manages 3D printing workflows from quoting through production to delivery. Django powers quoting engines, machine control interfaces, material traceability, and KPI dashboards. The platform integrates with Autodesk Fusion and serves regulated aerospace, medical, and defense customers. Authentise was selected for the inaugural ATI Boeing Accelerator with funding from Boeing HorizonX Ventures. The platform is used inside Boeing’s additive manufacturing operations, where it reduced order processing time by 80%, cut build preparation time by over 95%, and delivered 3x ROI within 8 months.

We also built products for BMW in the automotive vertical. Enterprise-grade Django applications serving one of the world’s largest manufacturers.

Multi-Vendor Marketplaces

Django REST Framework plus Celery plus PostgreSQL is the canonical stack for marketplace backends. The ORM handles the relational complexity (vendors, listings, orders, payment splits, payouts, disputes) and DRF exposes it as a clean API to the frontend.

Nautical Commerce is a multi-vendor marketplace infrastructure platform headquartered in New York. The company raised a $30 million Series A led by Drive Capital in 2022, with participation from Accomplice Ventures and Golden Ventures. The Django backend powers headless commerce, payments orchestration across vendors, and multi-vendor order management. The platform processes over 200,000 monthly transactions and launches turnkey marketplaces in as fast as 90 days.

Career and HR-Tech Platforms

Two-sided recruiting platforms where Django’s auth/permissions system, admin, PostgreSQL full-text search, and DRF APIs shine.

WayUp is a career platform for college students and recent graduates, founded in New York City in 2014. The platform grew to 3.5 million users and over 300,000 participating employers, serving companies like Under Armour, Unilever, L’Oreal, BlackRock, and Nasdaq. WayUp raised $28.8M in total funding from investors including Y Combinator, Trinity Ventures, and General Catalyst. The Django backend powered job matching, user profiles, employer recruitment tools, and diversity analytics. WayUp was acquired by Yello in July 2021. Within one year post-acquisition, jobs posted on WayUp grew 173%.

AI and Machine Learning Products

Django is the application layer that turns Python AI work into a product. The structural advantage: your LangChain agents, PyTorch models, scikit-learn pipelines, pandas transformations, and OpenAI/Anthropic API calls all run in the same Python runtime as your web tier, admin console, background jobs, authentication, and billing. One stack, one team, one set of dependencies.

The production pattern we deploy: Django plus DRF for the application and API layer. Celery for asynchronous LLM and embedding jobs. Django Channels for streaming tokens back to the client in real time. PostgreSQL with pgvector for retrieval-augmented generation. A thin FastAPI microservice only when the inference hot path requires pure async throughput.

API Backends

REST and GraphQL APIs built with Django REST Framework or Django Ninja. Token authentication, rate limiting per client tier, versioned routes, OpenAPI/Swagger specs, webhook delivery, and comprehensive test coverage with pytest-django.

DRF is the most popular third-party Django package, cited by 49% of respondents in the State of Django 2025 survey. It is the standard for building Python APIs that feed React, Vue, Next.js, and mobile clients.

The Django Stack We Use in Production

Framework: Django 6.0 for new builds. Django 5.2 LTS for stability-critical projects (security support through April 2028).

APIs: Django REST Framework (49% adoption among Django developers). Django Ninja when teams want FastAPI-style type hints inside Django.

ORM & Database: Django ORM with PostgreSQL (76% of Django teams). We tune connection pooling, index strategy, select_related/prefetch_related for N+1 elimination, and use pg_stat_statements for slow-query analysis. PostgreSQL 14+ is the supported minimum on Django 5.2+.

Async & Queues: Celery with Redis for background jobs. 49% of Django teams use Celery. Django Channels for WebSockets and ASGI. Daphne or Uvicorn as the ASGI server.

Frontend Integration: React or Vue served as a SPA against a DRF backend. Or HTMX + Alpine.js for server-rendered reactivity. HTMX usage among Django developers grew from 5% to 24% in recent years (State of Django 2025).

Testing: pytest-django for unit and integration tests. factory_boy for fixtures. Coverage gates in CI that block merges on failing tests.

Security: Django’s default protections all ship enabled. CSRF, XSS, SQL injection prevention via parameterized ORM queries, clickjacking protection, HSTS, secure cookies. PBKDF2 password hashing with 720,000 iterations (Django 5.0+). Django 6.0 added built-in Content Security Policy middleware.

Type Hints: 80% of Django developers either use or plan to use type hints (State of Django 2025). We type-annotate all new code and use mypy for static analysis.

Deployment: Docker + Kubernetes (EKS, GKE) or container-on-PaaS (Fly.io, Render). Gunicorn or Uvicorn behind Nginx. PgBouncer for PostgreSQL connection pooling. Redis for cache and Celery broker. Sentry for error monitoring.

Django vs Flask vs FastAPI: When We Recommend Each

Django when the project has admin needs, complex relational data, user authentication, long maintenance horizons, and a team that values convention over configuration. This is most production B2B software: SaaS platforms, marketplaces, CRM/ERP backends, fintech systems, content platforms.

FastAPI when the project is a pure high-throughput async API with no admin, no relational data complexity, and no human-facing pages. Common for ML model serving endpoints, IoT data ingestion, and microservices behind a Django-powered main application.

Flask when the project is a lightweight prototype, a small internal tool, or an extension to a legacy system where minimal framework overhead matters.

Django + FastAPI together when the project is an AI/ML product with users, admin, billing, and an inference hot path. Django runs the product. FastAPI runs the highest-throughput endpoint. Same Python, same deployment, same team.

We build with all three. The deliverable is a working product, not a framework loyalty test.

When Django Is the Right Choice (and When It Isn’t)

Choose Django when:

• You’re building a data-heavy web application, SaaS, marketplace, or CMS
• You need admin, auth, ORM, and migrations out of the box
• You want your web tier and your AI/ML code in the same language
• You’re building an API that feeds React, Vue, or mobile clients
• You want a framework with a 19-year track record and Instagram-scale proof points

Don’t choose Django when:

• You need a pure async high-throughput microservice with no admin. Use FastAPI.
• Your team has deep Laravel or Rails experience and no Python appetite. Productivity comes from the team.
• You’re building embedded systems or hard-realtime applications. Out of scope for any web framework.
• You need only a simple static site or landing page. Django is overkill.

What It Costs

Senior Django engineer (dedicated): $50-99/hr. A full-time dedicated developer costs $8,000-$16,000/month.

By project type:

Simple internal tool or admin dashboard: $8K-$25K, 4-8 weeks.

REST/GraphQL API backend: $25K-$60K, 2-4 months.

SaaS MVP with auth, admin, billing, and one core workflow: $30K-$80K, 8-16 weeks.

Multi-tenant SaaS with RBAC, plans, dashboards, and integrations: $80K-$250K, 4-8 months.

Multi-vendor marketplace with payments orchestration: $100K-$300K+, 6-12 months.

AI/ML product with Django web tier and inference backend: $60K-$200K, 3-8 months depending on model complexity.

Compare to US-based senior Django agencies at $100-$200+/hr, or freelance rates on Upwork at $20-$40/hr where the median is around $30/hr.

Who We Are

EltexSoft is a boutique Django development company. 35-50 senior engineers. Headquartered in Lisbon, Portugal. Engineering team in Ukraine. Founded in 2015.

Our Django clients include Boeing (via Authentise), BMW, WayUp (acquired by Yello), and Nautical Commerce. We also build with Laravel, React, Vue, Python/Flask, iOS, and Android.

5.0 Clutch rating across 30+ verified reviews. 200+ five-star Upwork reviews. Top Rated Plus and Expert-Vetted agency status (top 1%). Average client engagement: 3+ years.

Django is the framework we recommend when your product has real data, real users, and real admin needs, and when you want your AI/ML capabilities and your web tier speaking the same language. Python is eating the world of AI. Django is how you serve it to your customers.

30-minute technical call. Bring your architecture questions, your legacy codebase, or your AI product idea. We’ll tell you what we’d build and what we wouldn’t.

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