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Python development company
Avaib is a Python development company with more than twenty years building software, creating Django and Flask web applications, FastAPI back ends, data pipelines, automation and machine-learning products, and turning fragile scripts into real, tested software. Senior specialists, code you own, at a cost-effective rate.
Delivered for teams in Australia, the United States, Canada and the Middle East.
One language, many jobs
Python is one of the most widely used languages in the world, and it is unusually broad: the same language builds web apps and APIs, runs the data pipelines and workflow automation that replace manual work, and powers most modern AI. That makes it the language of choice for our AI and machine-learning services and for the business intelligence and data work we build for clients.
That flexibility is also where the trouble starts. Python is so quick to write that businesses end up running important work on a script or a notebook that was never built as real software, with no tests, no structure and only one person who understands it. It works, until the day it does not.
That is exactly where Avaib fits. We build new Python software properly, with structure, tests and documentation, and we take the scripts, notebooks and prototypes that quietly became business-critical and rebuild them into dependable applications you own, staffed by specialists in the specific kind of Python your project needs — one of the foundations we work in across the wider technology stack.
Building something new in Python, or stuck with a script the business now depends on? Both are what we do.
Get a free quoteWhat we build with Python
From Django and FastAPI web software to data pipelines, automation, machine learning and script rescues, here is the range of Python work our senior specialists build and maintain.
Customer portals, internal platforms and web products built on Django or Flask, where a secure, well-structured application does the daily work of the business.
Give your mobile app, your JavaScript front end or a third-party integration a solid engine to run on: fast, well-documented REST APIs built on FastAPI, with authentication, validation and rate limiting handled properly.
Software that ingests, cleans, transforms and moves data between systems on a schedule, so reporting, analytics and downstream tools always run on current, trustworthy numbers.
Imagine the repetitive tasks a person does by hand every day running on their own overnight, as reliable, tested software, with proper logging so you can see exactly what it did while your team spends the time on work that grows the business.
Models, recommendation and prediction features, and LLM-powered tools built into real software with Python's data and AI ecosystem, so the intelligence stops being a demo and starts working inside a product your customers actually use.
The Python script or Jupyter notebook that quietly became business-critical, rebuilt as a proper, tested, maintainable application, so what one person nervously babysits becomes something your whole team can run and depend on.
Not sure which of these fits your project? Tell us what you are building and we will map it out.
Get a free quoteThe prototype that never grew up
This is the most common Python situation we are called in to fix. It is nobody's fault; it is what happens when Python's speed meets no time to build the thing properly, and everything about how we work is designed to get you out of it.
Python is so fast to write that someone builds a small script or a notebook to get a job done, pull a report, move some data, automate a task. It works, so it stays. That is exactly what Python is good at.
More gets bolted on. Other work starts depending on it. Soon a script with no tests, no structure and no documentation is running something the business genuinely needs, and only one person understands how.
The person who wrote it is busy or gone, the data changes shape, and the whole thing falls over. What began as a helpful shortcut is now a fragile dependency you cannot safely change or replace.
The quick Python script rarely fails on day one. The cost shows up later, when the data changes, the author moves on, and the thing the business quietly came to rely on falls over, which is exactly why it pays to build it as real software, or rebuild it, before you are forced to.
The four worlds of Python
Python spans four genuinely different disciplines. A team that only knows one is not the right team for another. Here is what each kind of Python work really needs, and the specialist Avaib puts on it.
Django, Flask and FastAPI, with proper security, structure and testing for software real users log into every day.
What we bringSenior web specialists who build maintainable, secure Django and FastAPI applications, not a data scientist writing their first web app.
Reliable pipelines that move and reshape data between systems, handle failure gracefully and keep reporting accurate.
What we bringEngineers who build data workflows that run unattended and log clearly, so you trust the numbers and know when something needs attention.
Repetitive manual work turned into software that runs on its own, safely, with a record of what it did and when.
What we bringAutomation built like real software, with tests and error handling, so it keeps working when the inputs change rather than failing silently.
Models, predictions and LLM features built into a product, not left as an experiment in a notebook.
What we bringSpecialists who take a model from proof-of-concept to a tested feature inside working software people can actually use.
Want to know which kind of Python your project needs, and who should build it? We will help you scope it.
Get a free quoteThe concerns, answered
These are the real concerns we hear before a Python build or a script rescue starts. Here is exactly how Avaib takes each one off the table.
Why Avaib
Plenty of people can write Python. Fewer pair two decades of shipping software with specialists in each kind of Python, a real QA department, and a price that does not punish you for the quality.
Building software since 2004, across more than 600 projects, including Python web applications, data pipelines, automation systems and machine-learning products.
Web, data, automation and AI are different disciplines. Your project is staffed by senior engineers who work in that specific area every day, backed by a dedicated QA department and a 30-day warranty.
We take Python scripts, notebooks and proofs-of-concept and turn them into tested, maintainable software, so the clever idea becomes a dependable product instead of a fragile shortcut.
The same capability Australian, US, Canadian and Middle-East firms charge a fortune for, delivered by senior Python engineers from around USD 25 per hour.
Our senior engineers use advanced AI coding tools to move through the Python build faster, steering and reviewing every step, so your software ships sooner without cutting corners on quality.
The code, the data and the documentation stay yours, on standard, well-supported Python any team can hire for, so there is no lock-in to us or to a single developer.
Want a senior Python team that builds it right and hands you the code, without the enterprise price tag?
Get a free quoteHow we work
Understand the work and your data first, agree a clear scope, build in tested slices, then launch and support, so you always see progress and never face a single risky switch.
We start with what the software has to do, who uses it and what data and systems it touches, including any existing script, notebook or app, so the plan is grounded in your real situation.
You get a plain-language scope with defined outcomes, so you know exactly what will be built, in what order, and what it will cost before any development begins.
Senior Python specialists work in slices, each covered by automated tests and checked by our QA department, so you see working software early and, for a rebuild, the old version keeps running throughout.
We help you roll it out on the hosting you choose, support it under a 30-day warranty and beyond, and extend it as your needs change, on a foundation built to last.
Pricing
The same capability Australian, US, Canadian and Middle-East firms charge a fortune for, delivered by senior Python engineers from around USD 25 per hour, at a fraction of the price. We scope the work clearly up front so you get a fixed, plain-language quote, and every engagement leaves you owning your code, data and documentation outright.
For a clearly scoped application, pipeline or automation, we agree the scope and the price up front, then deliver and test it against your real requirements.
A senior Python team working as an extension of yours, that you can scale up or down as priorities shift, keeping the institutional knowledge with people who stay on your project.
We take an existing Python script, notebook or proof-of-concept and rebuild it as tested, maintainable software, on a plan sized to your risk and budget.
Every project is delivered by senior Python specialists under one accountable team, tested by a dedicated QA department, backed by a 30-day warranty, and you keep the code, data and documentation with no lock-in. Not sure where to start? We will give you an honest recommendation on a free scoping call and send you a free, no-obligation written estimate with a clear scope.
Want a clear read on your Python project and what it should cost?
Get a free quoteWhether it is a new application, a data or AI product, or a script to turn into real software, get an honest read, a clear scope and a ballpark price, free and with no obligation.
Get a free quoteWho we help
If you are running a critical script, building a data or AI product, automating manual work or shipping an API, here is the kind of team Avaib fits, and the problem we usually solve for each.
The Python toolbox
Deep across web, data, automation and AI in Python, and fluent with the databases, front-end tools and hosting that surround them, so your software fits cleanly with what you already run.
Proven Python work
Real Python and Django work, alongside the wider data and integration platforms our senior teams build.
A supply-chain vendor risk-monitoring and qualification portal that helps businesses assess and track the suppliers they depend on, built across several technology stacks by one accountable senior team.
An education platform integrated with enterprise systems including PeopleSoft and SAP, so student and institutional data flows cleanly between the software and the systems the organisation already runs.
RenterVibe’s PHP and jQuery platform was buckling under technical debt, and a rebuild was out of reach. We stabilised it through targeted refactoring, added finance and real-estate integrations and new features.
QuickContractors outgrew its Classic ASP roots just as partnerships with Home Depot and Lowe’s took off. We migrated it to ASP.NET and React on Azure, added contractor dashboards, mapping and dispatch automation, and scaled the team from one developer to 50+.
Want a Python build like these, with the code owned by you?
Get a free quoteIn our clients' words
Rated 4.5/5 on Google and 5/5 across other platforms, with 10+ written references and 80%+ client retention.
"I have nothing but positive things to say about Avaib. We have dealt with his company as our sole software providers for over 18 years now with very few issues. I would recommend their services anytime."
"As a senior product manager, I have worked with a handful of vendors, consultant agencies and development shops. I am confident to say that Avaib is among the best considering the velocity, quality of the work and the overall ROI. The team took ownership, overcame a steep learning curve in a new industry, and delivered promises. We are very thankful for the dedication of the team and would recommend Avaib to any company, large or small, to help with your technical project."
"We partnered with Avaib for custom software, mobile app, and web design & development projects, and the experience was excellent. All solutions were robust, well-structured, and delivered on time. They added real value to our clients' businesses."
Common questions
Python development is the building of software in Python, one of the most widely used programming languages in the world. It is unusually broad: the same language builds web applications and APIs, powers data pipelines and automation, and underpins most modern machine-learning and AI work. That flexibility, along with a huge library ecosystem and readable code, is why Python is used everywhere from small automations to large production platforms.
A Python development company designs, builds, tests and maintains this software for you, and often turns existing Python scripts, notebooks and prototypes into proper, production-grade applications. Avaib has built software since 2004, across more than 600 projects, with senior specialists in each kind of Python work, so we can build new Python software or make an existing one dependable.
A wide range, because Python covers a lot of ground. On the web side we build applications and APIs with Django, Flask and FastAPI. On the data and automation side we build pipelines that move and clean data, and automation that replaces repetitive manual work with reliable software that runs on its own.
We also build machine-learning and AI features, taking a model from a proof-of-concept to a tested feature inside a real product, and we rebuild fragile Python scripts and Jupyter notebooks into proper, maintainable applications. Because these are genuinely different disciplines, we staff each project with specialists in the right one.
Yes, this is one of the most common things we are asked to do. Python makes it easy to build a quick script or notebook that quietly becomes business-critical, and later becomes fragile and risky to change. We rebuild it as a properly structured, tested and documented application, keeping the current version running throughout so the work it does never stops.
The result is standard Python with automated tests and clear documentation that any capable Python team can run and extend. You go from a one-person dependency you are afraid to touch to software you own outright and can safely build on.
Yes. We build data pipelines that ingest, clean and move data between systems on a schedule, with proper handling of failure and clear logging, so your reporting and analytics run on trustworthy numbers. We build automation that turns repetitive manual tasks into reliable software.
On machine learning and AI, we take models, prediction and recommendation features, and LLM-powered tools and build them into real, tested software people can use, rather than leaving them as experiments. Python's data and AI ecosystem is a core part of what we do.
It depends on the scope, since a focused automation is very different from a full web application, a production data platform or a machine-learning product. That is why we scope the work clearly up front and give you a fixed, plain-language quote before any development starts, so there are no open-ended surprises.
Our senior Python engineers work at a cost-effective rate of around USD 25 per hour, the same capability Australian, US, Canadian and Middle-East firms charge a fortune for, and AI-accelerated delivery helps get you there faster. After a short conversation we will send you a free, no-obligation written estimate with a clear scope.
Both. If your project is clearly defined, we scope it and deliver it for a fixed price. If you need ongoing capacity, we provide a dedicated team of senior Python specialists who work as an extension of yours and scale up or down as your priorities change, so the knowledge stays with people who remain on your project.
For an existing script, notebook or prototype, we also offer a prototype-to-production engagement that rebuilds it as tested, maintainable software, sized to your risk and budget. Whichever model fits, the work is done by senior specialists under one accountable team.
You own everything. We hand you the full code, the data and the documentation on standard, well-supported Python, so any capable Python team can run and extend it. There is no lock-in to us and no dependence on a single developer.
That is deliberate. We build software that outlasts the relationship with us, so you stay with Avaib because the work keeps delivering value, not because you are trapped.
Got a question that isn't here? Ask it on the quote form, we answer every one.
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