01
Web apps with Django
Python web apps and portals on Django, with the ORM, admin, auth and Django REST Framework for the API.
FIG 01 · Python Development
Python development services for web apps, data and AI
Django and FastAPI back ends, data pipelines, automation and AI features built in Python on supported versions, by developers who write down how your app will be upgraded, not just how it was built.
See how it works
FIG 02 · Quick answer
What are Python development services?
Python development services cover building web apps, APIs, data pipelines, automation and AI features in Python. Elgrith builds with Django and FastAPI on supported Python versions, connects LLMs and data warehouses, and offers custom Python development or dedicated Python developers, with your repository, your IP and a written upgrade plan.
- Frameworks we pick from: Django, FastAPI, Flask
- 3
- Projects delivered since 2015
- 1,000+
- Clients across the USA, UK and India
- 250+
- Your code, repository and IP
- 100%
FIG 03 · Why it matters
Python is the language of data and AI. That is why it is in your stack.
From the 2025 Stack Overflow Developer Survey and GitHub Octoverse 2025, read on 23 Oct 2026.
01
57.9%
Of developers use Python
In the 2025 Stack Overflow survey, 57.9% of respondents used Python, and “It saw a 7 percentage point increase from 2024 to 2025.” Hiring and handing over a Python codebase is easier than for most stacks.
Source: Stack Overflow Developer Survey 2025, technology(opens in a new tab)02
2.6M
Python contributors in AI and data science
GitHub Octoverse 2025: “Python remains dominant in AI and data science with 2.6 million contributors (+48% YoY).” Most model SDKs, data tools and AI frameworks ship for Python first.
Source: GitHub Octoverse 2025 (28 Oct 2025)(opens in a new tab)03
14.8%
Of developers use FastAPI, now ahead of Django
The same survey puts FastAPI at 14.8%, Flask at 14.4% and Django at 12.6%. The right one depends on the app, not the ranking; the table below shows when we pick each.
Source: Stack Overflow Developer Survey 2025, technology(opens in a new tab)
FIG 04 · Decide
Django vs FastAPI vs Flask
All three are good. They solve different problems, so we choose per project and write the reason into your scope.
| Django | FastAPI | Flask | |
|---|---|---|---|
| Used by (Stack Overflow 2025) | 12.6% of respondents | 14.8% of respondents | 14.4% of respondents |
| Best for | Full web apps, portals and admin-heavy products | APIs, AI services and async workloads | Small services and simple APIs |
| Built in | ORM, admin, auth, forms, migrations | Pydantic validation, OpenAPI docs, async | Routing and templates; add the rest |
| Admin panel | Django admin, included | Built or added separately | Built or added separately |
| Long-term support | LTS releases (5.2, then 6.2) | No formal LTS; pin and upgrade | No formal LTS; pin and upgrade |
| Watch for | Heavier for a tiny API | You assemble auth and admin | Grows messy without structure |
A common pattern: Django for the app and its admin, FastAPI for a separate AI or data service beside it.
FIG 05 · What you get
Custom Python development services
Python web development, APIs, data and AI work for startups and growing businesses, from a single service to a full product.
02
APIs with FastAPI
Typed, async APIs with Pydantic models and OpenAPI docs generated from the code, for web, mobile and partner integrations.
03
Data pipelines and ETL
Pipelines in Python with pandas or Polars, scheduled in Airflow or as jobs, moving data from your apps into a warehouse.
04
AI and LLM features
Search, summaries, extraction and assistants using the OpenAI or Anthropic Claude APIs, with retrieval over your data in pgvector.
05
Automation and scripts
Scripts and workers that replace manual exports, report building and copy-paste between systems, with Celery for scheduled jobs.
06
Python app back ends for mobile
Python app development for the server side of iOS, Android and React Native apps: auth, push notifications and sync.
07
Serverless and containers
Python services packaged with Docker or deployed as AWS Lambda functions, with environments managed by uv or Poetry.
08
Python and Django upgrades
Old Python 3 and Django versions moved to supported releases, with pytest coverage added first where it is thin.
Deliverables
11
deliverables, in writing
Included in every build, written into your fixed quote before work starts.
FIG 06 · Flagship build
Proof: an AI product we designed and engineered
Kenerate AI is our flagship build: an all-in-one AI studio for images, video, music, voice and 3D. It shows the AI integration work behind our Python projects: many model providers behind one product, one login and one balance.
- 200+ AI models behind one app, one login and one credit balance
- MCP & CLI: Kenerate works inside Claude, ChatGPT, Cursor and 19+ AI apps
- 23+ studios and tools, with up to 4K output
- 1,000+ projects for 250+ clients since 2015
The idea: 15 apps, 15 logins, 15 bills become one studioDesigned and engineered by Elgrith
- AI models in one app
- 200+
- Studios and tools
- 23+
- Maximum output
- 4K
- Guides
- 500+
FIG 07 · Django
Django development company
Django gives you an ORM, an admin and auth on day one. We use them properly, and plan your upgrades around Django’s published support dates.
06principles
Django admin, extended
The built-in admin turned into a real back office: roles, filters, bulk actions and audit logs.
ORM and PostgreSQL
Models, migrations and query tuning on PostgreSQL, with indexes for the queries your app actually runs.
Django REST Framework
APIs for mobile and front-end apps, with permissions, pagination and versioning.
LTS-first
New long-lived apps start on an LTS release. Django 5.2 LTS has extended support until April 2028, and 6.2 LTS is planned for April 2027.
Ready for “Django 2028”
From 2028, Django feature releases use a YYYY version and ship every January. We plan your upgrade calendar around it.
FIG 08 · AI
Python for AI products
Most AI work is Python: model SDKs, data tools and retrieval libraries. We build the parts around the model that make it useful and safe.
06principles
LLM integration
OpenAI and Anthropic Claude APIs wired into your product, with prompts, evaluation and cost controls.
LLM integrationRetrieval over your data
pgvector search with LangChain or LlamaIndex where they help, and plain code where they don’t.
AI products, end to end
From prototype to production, with the product design around it.
AI development
FIG 09 · Hire
Hire Python developers
Dedicated Python developers who work in your repository and your sprint, managed from our New Delhi HQ, with a London or New York client partner.
06principles
Dedicated Python developer
A full-time developer on your Django, FastAPI or data codebase.
Python team extension
Back-end, data and QA engineers added for a release or a backlog.
Fixed-scope project
A defined app, API or pipeline for one fixed quote, with weekly demos.
How dedicated teams work
Interviews, onboarding, replacements and hand-over.
Hire dedicated developers
FIG 10 · Process · 6 steps
Pick the framework, then the plan
A fixed written quote after a free call, sprints with weekly demos, and a written upgrade plan for Python and Django. You own the code and IP.
- Step 01
Free call
Tell us what you are building or what is breaking. We ask about users, data, integrations and deadlines, not just the framework.
- Step 02
Code or idea review
For a new build: users, data, integrations and whether Django, FastAPI or Flask fits. For an existing codebase: Python and package versions, tests and the parts that break.
- Step 03
Fixed written quote
A written scope, a fixed quote and the plan for versions, hosting and hand-over, before any work starts.
- Step 04
Sprints with weekly demos
Sprints in your repository, with typed code, pytest in CI, readable pull requests and a demo every week.
- Step 05
Launch
A planned release to containers, serverless or your own servers, with environment variables, migrations and a rollback ready.
- Step 06
Support and upgrades
Security releases applied in a patch window agreed in your written scope, plus planned upgrades before your versions lose support.
FIG 11 · What you get
Everything included
Written into your fixed quote, so you know exactly what you are paying for before work starts.
11items
- Written scope and fixed quote
- Framework decision, in writing
- Python app, API or pipeline in your repository
- Locked dependencies (uv or Poetry)
- pytest suite in CI
- OpenAPI docs for every API
- Docker images and deploy pipeline
- Python and Django upgrade calendar
- Runbooks and hand-over notes
- Exit plan: how another team takes over
- IP assignment: code and data are yours
FIG 12 · Tech & tools
The tools behind the work
Proven, well-supported tools, chosen for your project and set up in accounts your business owns.
- Python 3.13
- Python 3.14
- Django 5.2 LTS
- Django 6.x
- Django REST Framework
- FastAPI
- Flask
- Pydantic
- SQLAlchemy
- Celery
- asyncio
- uv
- Poetry
- pytest
- PostgreSQL
- pgvector
- Redis
- Docker
- AWS Lambda
- pandas
- Polars
- Airflow
- LangChain
- LlamaIndex
FIG 13 · Who it’s for
Python work for products, data teams and AI features.
One language, three very different jobs. We staff and scope each one differently.
3 audiences
Web products
Django and FastAPI apps that ship.
SaaS products, portals and internal tools with a Django or FastAPI back end and a React or Next.js front end.
- Django admin as your back office
- Typed APIs with OpenAPI docs
- PostgreSQL done properly
- Tests in CI
AI features
AI in the product, not in a demo.
Retrieval, extraction, summaries and assistants built into your app, with evaluation and cost controls.
- OpenAI and Claude APIs
- pgvector retrieval
- Evaluation before launch
- Usage and cost tracking
UK teams
Python developers for UK teams.
Want to hire Python developers in the UK? UK projects run through our London client partner, with engineering at our New Delhi HQ. We write in UK English and design data handling around UK GDPR.
- London client partner
- UK English throughout
- Fixed written quote in GBP
- UK GDPR-aware data handling
FIG 14 · Working with us from the USA and UK
Built in New Delhi. Run on your hours.
Every project gets a point of contact in New York or London and an engineering team in New Delhi. Here is how today’s working days line up, live.
New York
North America
--:--ET
New Delhi team Your working day- Shared working time
- ≈ 3 hours today
- New Delhi is
- 10.5 h ahead
- Live calls, your time
- 9 a.m. to 12 p.m. ET
London
UK & Europe
--:--UK
New Delhi team Your working day- Shared working time
- ≈ 4.5 hours today
- New Delhi is
- 5.5 h ahead
- Live calls, your time
- 9 a.m. to 1:30 p.m. UK
Three ways to work together
- 01
Fixed-scope project
A written scope, one fixed price and a dated plan. Suits websites, apps and MVPs.
- 02
Dedicated team
Designers and engineers on your roadmap every month, billed monthly.
- 03
White label
For US and UK agencies: our work, your brand, unbranded deliverables.
Every engagement
- Fixed quote in USD, GBP or INR after a free 30-minute call
- NDA before discovery. You own all code, designs and content
- A working demo every sprint, not status slides
- Reply within one business day, calls inside your hours
Book a call
Calls on ET or UK hours
FIG 15 · Versions
Python versions and support status
Python releases get two years of bug fixes, then security fixes only, and “Five years after a release, support ends.” New projects start on a version with years left.
| Python | Released | Status, Oct 2026 | Support ends | Use for |
|---|---|---|---|---|
| 3.15 | 9 Oct 2026 | Bug fixes | Oct 2031 (scheduled) | New projects, once your key libraries support it |
| 3.14 | 7 Oct 2025 | Bug fixes | Oct 2030 (scheduled) | New projects today |
| 3.13 | 7 Oct 2024 | Security fixes only | Oct 2029 (scheduled) | Existing apps; plan the move |
| 3.12 | 2 Oct 2023 | Security fixes only | Oct 2028 (scheduled) | Existing apps; plan the move |
| 3.11 | 24 Oct 2022 | Security fixes only | Oct 2027 (scheduled) | Upgrade soon |
| 3.10 and older | 2021 or earlier | End of life | Ended | Upgrade now |
From the Python Developer’s Guide, read 23 Oct 2026. Scheduled dates can be adjusted by the Python release team.
FIG 16 · Django
Django release series and support dates
The latest official Django version is 6.1.2. Long-lived apps belong on an LTS series.
| Django | LTS | Mainstream support ends | Extended (security) support ends |
|---|---|---|---|
| 5.2 | Yes | 3 Dec 2025 | April 2028 |
| 6.0 | No | 4 Aug 2026 | April 2027 |
| 6.1 | No | April 2027 | December 2027 |
| 6.2 (planned April 2027) | Yes | December 2027 | April 2030 |
| 2028 (planned January 2028) | No | January 2029 | January 2031 |
From djangoproject.com, read 23 Oct 2026: “Beginning with Django 2028, feature releases will use the version format YYYY and will be released every January.”
FIG 17 · Compare
Python vs Node.js vs Laravel: which back end?
| Python (Django, FastAPI) | Node.js (TypeScript) | Laravel (PHP) | |
|---|---|---|---|
| Best for | Data-heavy apps, AI features, automation | Real-time apps and JavaScript-only teams | Web apps, SaaS and admin-heavy products |
| AI and data libraries | The widest choice | Good, growing | Good for app-level AI features |
| Admin panel | Django admin, included | Built or bought separately | Filament or Nova |
| Concurrency | Async in FastAPI and Django; workers for heavy jobs | Event loop, built for many connections | Queues and workers |
| Our page | You are here | Node.js development | Laravel development |
FAQ
Frequently asked questions
Straight answers about Python Development with Elgrith.
Web apps and portals, APIs for mobile and front-end apps, data pipelines and reporting, automation that replaces manual work, and AI features such as search, extraction and assistants. 57.9% of respondents to the 2025 Stack Overflow survey use Python, so it is also easy to hire for and hand over.
FIG 18 · Related
Keep exploring
Laravel Development
Laravel & PHP apps, upgrades, APIsNode.js Development
TypeScript APIs & real-time appsData Engineering
Pipelines, warehouses & AI-ready dataLLM Integration
ChatGPT, Claude & RAG in your productAI Development
LLM apps, AI agents & MCPHire Dedicated Developers
Your own full-time remote team
Free 30-minute call
Build it in Python.
Tell us about the app, API, pipeline or AI feature you need. After a free call you get a written scope, a framework recommendation and a fixed quote.
Pick a day for your call
OpenPick a day. You'll choose a time in your own time zone on the next step.