Python has become the go-to language for automation, data workflows, and backend development across industries. From fast-moving startups to global hospitality brands, developers are building more sophisticated integrations in Python and asking for better tools to support them.
At PolyAPI, we’ve been listening.
While most customers still rely on TypeScript, Python adoption is accelerating. Over the past quarter, we’ve seen a significant rise in Python developers building with Poly, and we’ve prioritized giving them the same fast, intelligent experience our TypeScript community enjoys.
In Release 22, we’re excited to roll out several powerful updates to the PolyAPI Python Client that make integrations more intuitive, reliable, and developer-friendly.
More Accurate Types = More Confident Code
If you’ve ever built API-based integrations across different systems, you know how quickly things can get messy. Each API might represent the same concept, like a “reservation,” “user,” or “property,” with entirely different structures. Without solid type support, you’re left guessing what shape the data takes, wasting time on trial and error.
That’s why this release focuses heavily on improving type detection.
We’ve overhauled how our Python Client interprets schemas and arrays, dramatically reducing the fallback to Any. The result is precise, contextual types that bring Intellisense to life in your Python editor. Whether combining multiple data sources or orchestrating new workflows, your code becomes easier to understand, debug, and extend.
For developers, this means fewer runtime surprises and more clarity when stitching together complex systems. You’ll spend less time checking documentation and more time building.
Schema Support That Feels Native
Another significant step forward is full support for schemas in Python.
If you’re working with structured data, like a guest profile from a PMS system or a booking object from a travel API, you’ll see those structures reflected directly in your code. Poly automatically detects these schemas and turns them into Python-native types so your functions, variables, and models all stay aligned.
It’s not just about code hygiene. It’s about collaboration.
Teams can now confidently share logic across projects, knowing that their code follows consistent schemas across all environments. Onboarding a new team member becomes easier when your codebase is readable and strongly typed. Even in large enterprises, where developers span geographies and time zones, this update creates a shared language that reduces bugs and accelerates delivery.
Smarter Function Signatures, Fewer Errors
Another upgrade worth highlighting is support for optional arguments in API functions. If you’ve ever had to write around rigid function contracts or insert null checks to handle a simple API variation, this change is for you.
With proper support for optional parameters, your function signatures reflect the real-world flexibility of your API logic. This mirrors how developers write and test integrations experimentally, iteratively, and often with partial data sets.
More flexibility in function design means cleaner, more maintainable code without sacrificing structure or safety.
A Python Client That Respects Your Environment
Python developers rely on virtual environments to isolate dependencies, avoid version clashes, and manage libraries across projects. That’s why we’ve added native support for virtual environments in the Poly client.
When you run the Poly client, it automatically detects if you’re in a virtual environment and installs packages accordingly. There’s no need to switch terminals or override defaults. It works seamlessly with your preferred setup.
This small change eliminates one of Python developers’ most common frustrations when integrating with external tools. It helps ensure your local setup stays clean, reproducible, and easy to manage.
Built for the Long Haul
We’re just getting started.
Improving type detection and schema handling is the first step. In future updates, we plan to expand support for advanced schema patterns, introduce better introspection tools, and enable smarter syncing across environments. Our goal is to make PolyAPI the most developer-friendly integration platform for Python.
That means providing tools that feel intuitive, fit into your workflow, and help you move fast without sacrificing quality. Whether you’re automating guest workflows, creating custom dashboards, or orchestrating complex pipelines, these updates bring real value to every build step.
A Better Experience for Builders
These aren’t just “Python updates.” They’re part of our belief that developers deserve tools that elevate their work.
By improving type safety, enabling schema clarity, respecting your environment, and adding flexibility where it matters most, we’re giving developers the confidence to move quickly and the control to build with precision.
If you work in Python, try out these updates today and experience the difference in your workflow. Let us know what you’re building.
The future of integrations is intelligent, fast, and Python-ready.
Get started for free by creating an account, following our Getting Started Guide, or reach out for a live demo. Whether you’re integrating systems, automating data flows, or scaling your backend, PolyAPI is built to help you move faster with confidence.
Let’s build something smarter together.