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Python Development

Python Backends
That Scale With You.

FastAPI, Django, Flask, and Odoo — plus data pipelines, AI services, and internal tools. Typed, tested, containerized, and monitored from day one.

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FastAPI + Django
Typed + Tested
AI + Data Ready

Python is the language powering the modern backend — web APIs, data pipelines, machine-learning services, automation, and ERPs like Odoo


UpWve Technologies ships typed, tested Python services using FastAPI, Django, Flask, Celery, SQLAlchemy, and Pydantic — deployed in containers on AWS, Azure, GCP, or your own infrastructure, with observability wired in from day one.

Tech Stack

Our Python backend tech stack

Modern, typed, tested — the Python stack we ship production systems with.

Python 3.12+ FastAPI Django DRF Flask Starlette Pydantic SQLAlchemy Alembic Celery RQ Dramatiq Redis PostgreSQL MongoDB Pandas Polars NumPy PyTorch scikit-learn LangChain LlamaIndex pytest Hypothesis Ruff mypy uv / Poetry Docker
Services

Our Python development services

APIs, Django platforms, data pipelines, AI services, automation, and Odoo — the full Python surface.

FastAPI Services

Typed, async FastAPI services with Pydantic models, OpenAPI auto-documentation, authentication middleware, and production-ready containerization.

Django Platforms

Django + Django REST Framework full-stack platforms — for SaaS, admin-heavy B2B, marketplaces, and rapid-ship products with batteries included.

Odoo Customization

Custom Odoo modules, integrations, migrations, and Odoo.sh deployments — see our dedicated Odoo page for the full capability set.

Data Pipelines & ETL

Airflow, Dagster, or Prefect pipelines with Pandas / Polars, pytest data-contract tests, and typed Pydantic schemas for every hop.

AI & ML Services

LLM backends, RAG pipelines, custom model serving with FastAPI + PyTorch, and MLOps pipelines — see the AI/ML page for the full offering.

Automation & Scripting

Ops automation, scraping, report generation, scheduled jobs, and background workers built with Celery, RQ, or Dramatiq.

Python 2 / Legacy Modernization

Python 2 to 3 migrations, old Flask / Django upgrades to current LTS, and type-annotation adoption with mypy / Pyright gating in CI.

DevOps & Deployment

Docker, Kubernetes, Terraform, GitHub Actions / GitLab CI — we ship Python services with CI/CD, monitoring, and zero-downtime deploys.

Python Support & SRE

Post-launch monitoring, P1 fix SLAs, dependency updates, security patches, and on-call rotations for business-critical systems.

AI in Python

AI-powered Python backends

Python is the default language for AI — we ship it into production with proper evals, guardrails, and observability.

LLM Services

  • FastAPI + streamingSSE-backed chat endpoints with typed inputs and outputs.
  • OpenAI / Anthropic / GeminiTyped clients, retries, caching, and cost dashboards.
  • Self-hosted LLMsvLLM, TGI, and Llama.cpp on your own GPUs.

RAG Pipelines

  • LangChain / LlamaIndexChunking, embedding, and retrieval pipelines in Python.
  • pgvector & PineconeHybrid search with keyword + vector + reranker.
  • Ingestion workersCelery / Dagster pipelines that keep the index fresh.

MLOps & Evals

  • MLflow / Weights & BiasesExperiment tracking, model registry, and deployment.
  • Eval suitesRagas, DeepEval, and custom harnesses running in CI.
  • ObservabilityLangSmith / Helicone traces plus OpenTelemetry spans.
Use Cases

Python backends built for every use case

Where Python wins — APIs, data, AI, and automation.

REST & GraphQL APIs

FastAPI / DRF APIs with auth, rate limits, and OpenAPI docs.

AI & ML Services

LLM services, RAG pipelines, and custom PyTorch models.

Data Pipelines

Airflow / Dagster ETLs, batch jobs, and real-time streams.

Automation

Scraping, reporting, scheduled tasks, and ops scripts.

Django Platforms

Full-stack SaaS, marketplaces, and admin-heavy B2B apps.

Odoo Modules

Custom Odoo apps, migrations, and Odoo.sh deployments.

Industries

Python backends for every industry we serve

Python is the default backend language — here's where we ship it.

Fintech

Payment gateways, fraud scoring, reconciliation, and regulatory reporting pipelines.

Healthcare

FHIR APIs, clinical pipelines, HIPAA-ready data stores, and telehealth backends.

E-commerce

Order orchestration, catalog APIs, loyalty engines, and fraud detection.

Logistics

Route optimization, dispatch APIs, ETA prediction, and carrier integrations.

Manufacturing

MES integrations, OEE dashboards, predictive maintenance, and data pipelines.

Energy & Utilities

Smart-meter ingest, grid analytics, tariff billing, and regulatory reporting.

Insurance

Quote engines, claim automation, document intelligence, and underwriting APIs.

EdTech

Learning analytics, proctoring services, content pipelines, and LLM tutors.

Real Estate & PropTech

Listing ingestion, valuation models, document intelligence, and tenant agents.

AgriTech

Sensor ingest, yield models, advisory services, and farmer APIs.

Legal

Contract intelligence, clause extraction, and matter-management APIs.

Media

Ingest pipelines, transcoding orchestrators, recommendation engines, and CMS APIs.

Engagement

Flexible Python engagement models

Fixed-scope builds, embedded pods, or individual engineers.

01

Fixed-Bid Project

A defined Python service or platform — scope, timeline, and price locked before kickoff.

  • Signed scope document
  • Fixed milestones
  • Change requests priced separately
  • Full IP assignment on final invoice
02

Dedicated Python Team

Senior Python engineers, SREs, and a tech lead embedded with your team.

  • Same engineers across the engagement
  • Daily standups on your channel
  • Weekly demos + Friday staging drops
  • Scales in 2-week windows
03

Staff Augmentation

Individual Python engineers joining your team under your process, tooling, and sprints.

  • Vetted Python engineers in 48 hours
  • You run standups, reviews, sprints
  • Roles: senior backend, data engineer, MLOps, Odoo
  • Swap or release with two-week notice
Process

Our Python delivery process

Six phases from scoping to production with observability.

01

Discovery & Scoping

Free call to map goals, load profile, compliance, and integrations. Written estimate within 48 hours.

02

Architecture

Service map, data model, API contracts (OpenAPI), and deployment topology documented before code.

03

Sprint 0

Repo, typed scaffolding, CI/CD, Docker, Postgres / Redis, observability, and staging deploy live by end of week three.

04

Build, Demo, Iterate

One-week sprints, Thursday demos, Friday staging deploys. pytest + mypy + Ruff gates every PR.

05

Launch

Blue-green or canary rollout with Sentry / OpenTelemetry gating and automatic rollback on regressions.

06

SRE & Maintenance

On-call, P1 fix SLAs, dependency updates, security patches, and monthly performance reports.

Why UpWve

Why Choose UpWve?

A strategic technology partner built for speed, ownership, and enterprise-grade delivery — without the complexity of traditional agencies.

01

Senior Engineers from Day One

Your projects are led by experienced architects, not junior-heavy teams. Senior talent from the start means quality code and faster decisions.

02

Faster Decisions, Fewer Layers

Lean teams and direct communication. You talk to the people who build — not account managers who relay messages through a chain.

03

Custom Delivery, Not Templates

Every solution is tailored to your business, architecture, and growth goals — never cookie-cutter. We build what you need.

04

Founder & Leadership Access

Direct access to senior leadership ensures accountability, clarity, and faster problem-solving. No ticket queues — you speak to decision-makers.

< 2hr Avg Response
100% IP Ownership
0 Hidden Fees
05

Better Cost-to-Value Ratio

Enterprise-quality outcomes without inflated costs. Top-tier results at a fraction of what large agencies charge.

06

Multi-Stack Expertise

Odoo ERP, React, Flutter, AI, IoT — one partner for all your technology needs. No juggling multiple vendors.

07

Enterprise-Grade Security

Strict NDAs, OWASP compliance, GDPR-ready processes, and full IP ownership. Your data and code are always yours.

08

Agile Execution without Enterprise Overhead

Modern agile delivery that moves fast — two-week sprints, weekly demos, and real-time visibility into progress without the rigidity of large integrators.

09

Clear Ownership & Long-Term Maintainability

Codebases, documentation, and architectures are built for clarity, handover, and long-term evolution — not dependency on vendors.

FAQ
How much does a Python backend cost?

Python backend cost is quoted per project and depends on scope, load profile, integrations, and data sensitivity. We tailor the scope to your budget. Written estimate within 48 hours, free, with no obligation.

How long does Python development take?

Focused APIs: 4–8 weeks. Mid-scope Django platforms: 10–16 weeks. Data pipelines or AI services: 8–14 weeks. Staging live by end of week three.

Should we use FastAPI or Django?

FastAPI for API-first services, heavy async workloads, typed contracts, and AI backends. Django when you need full-stack productivity, admin-heavy UIs, and batteries-included conventions. We pair them happily.

Do you write typed Python?

Yes. Every new project uses Python 3.12+, strict type annotations, Pydantic models, and mypy / Pyright as CI gates. Ruff replaces flake8 + isort + pyupgrade.

Can you migrate from Python 2 or older frameworks?

Yes. Python 2 to 3, older Django / Flask upgrades, and transitioning untyped codebases to modern typed Python. Incremental migrations so production never stops.

How do you handle performance and scale?

Async FastAPI, Celery / RQ workers, PostgreSQL tuning, Redis caching, horizontal scaling with Kubernetes, and OpenTelemetry-driven profiling. We benchmark before we optimize.

How do you test Python code?

pytest for unit and integration tests, Hypothesis for property-based tests, factory-boy for fixtures, and contract tests for public APIs. Every PR runs the suite plus mypy and Ruff in CI.

Do you deploy Python services?

Yes. Docker images, Kubernetes (EKS / AKS / GKE / on-prem), Terraform-managed infra, GitHub Actions / GitLab CI pipelines, and zero-downtime blue-green or canary deploys.

Can you build AI / LLM services in Python?

Yes. FastAPI streaming endpoints, LangChain / LlamaIndex pipelines, custom PyTorch services, self-hosted LLMs via vLLM, and MLOps with MLflow / Weights & Biases.

Can you build Odoo modules?

Yes — Odoo is core Python for us. Custom modules, migrations, Odoo.sh deployments, and integrations. See our dedicated Odoo page.

Do you offer SRE and post-launch support?

Yes. 90 days of post-launch support included, then an optional retainer covering on-call, P1 SLAs, dependency updates, security patching, and monthly performance reports.

Who owns the codebase?

You do. Full IP assignment on invoice — source, infra-as-code, CI/CD, container images, and every package we publish.

Ready when you are

Have a project in mind? Let's talk.

Share your requirements on a short discovery call. We'll come back with a written estimate, recommended stack, and timeline — whether or not you end up working with us.