Treevoxa offers Python development services for companies that need a back end, an API or an automated process built properly: tested, documented and easy for the next developer to read. We build with FastAPI and Django on PostgreSQL, and we put the scope, the price and the ownership of the code in writing before we start. Our Python app development services cover the back end, the admin and the integrations.
Python development services we offer
- APIs for web and mobile apps, partners and internal tools, with typed request and response models.
- Web application back ends: accounts, permissions, billing, admin panels and reports.
- Data processing and automation: imports, exports, reconciliations, scheduled reports and file handling.
- Integrations with payment providers, cloud storage, email services and AI models.
- Code audits and rescues for Python code bases that have become hard to change.
Python in production: DealWisp
Python based companies, and companies whose data teams already write Python, often want their product back end in the same language. Our own DealWisp product runs on Python. Its back end is a FastAPI service on PostgreSQL through the asyncpg driver, with Pydantic models for every request, password hashing with bcrypt, JSON Web Tokens for sign-in, image handling with Pillow, file storage on Amazon S3, and transactional email. A pytest suite covers the API. That is the standard we hold client projects to.
Python app development: FastAPI or Django
| FastAPI | Django | |
|---|---|---|
| Best for | APIs, high request volumes, async I/O | Data-heavy web apps with a back-office admin |
| Built in | Typed models, automatic OpenAPI docs | ORM, migrations, admin, auth, forms |
| Typical use | A SaaS API or a mobile app back end | An internal system with many staff screens |
Both run well on PostgreSQL. See FastAPI development services and Django development services for more on each.
Tech stack for Python projects
| Part | What we use |
|---|---|
| Frameworks | FastAPI, Django, Starlette, Uvicorn |
| Data | PostgreSQL, asyncpg, SQL migrations |
| Validation | Pydantic, email validation |
| Security | bcrypt password hashing, JWT, role-based permissions |
| Services | Amazon S3 through boto3, transactional email, image processing |
| Testing | pytest, parallel test runs with pytest-xdist |
Front ends for Python back ends are usually React or Next.js; see React development. If your system is built in Node.js instead, see Node.js development.
How a Python project runs
- Discovery. What the code must do, for whom, with which data, and what exists today.
- Written scope. Endpoints or features, integrations, milestones and the price.
- Build with tests. Automated tests written with the code, run on every change.
- Deploy. Containers, environment configuration, database migrations and monitoring.
- Hand over and support. Documentation, a README a new developer can follow, and support agreed in writing.
Engagement models for Python work
- Fixed scope for a defined API, feature or automation.
- Dedicated Python developer working only on your product, billed monthly. See hire developers.
- Hourly for audits, fixes and small changes.
What Python development costs
The price of Python work depends on the scope, the number of integrations, the state of any existing code, and how much testing and documentation you need. Our developer rates page compares what Python and other developers charge by region, and the custom software development cost guide explains project pricing. We quote in US dollars, in writing.
Who Python development is for
- Data-driven businesses whose analysts already use Python and want production systems in the same language.
- Companies automating back-office work: imports, reconciliations and reports.
- Products that use AI models, which are most often called from Python services.
- Owners of Python code that has grown hard to change and needs tests and structure.
Which Python version do you use?
A currently supported version, pinned in the project, with dependencies pinned too, so the code builds the same way on every machine and server.
Questions to ask before you hire a Python team
- Can we see Python code you run in production?
- Which framework do you recommend for us, and why?
- How are dependencies pinned and kept secure?
- What does your test suite cover?
- How will the code be documented for the next developer?
Ask every bidder the same questions, in writing, and compare the answers before you compare the prices.
Working across time zones on Python projects
We work remotely, with a daily overlap window in your working hours agreed before the project starts, usually your morning for US teams and the afternoon for UK and European teams. Questions you leave at the end of your day are usually answered by the start of the next.