We introduced Python Workers two years ago, providing a way to run Python applications in the Cloudflare Workers runtime. Our goal was to make it as simple to write Workers in Python as it is in TypeScript, and to make the ecosystem of Python packages and frameworks “just work”.
Today, Python Workers are now generally available (GA).
What does GA mean? It means Python is now a first-class, fully supported language on the Cloudflare Developer Platform. You can bring the Python code, libraries, and design patterns you already know and connect them seamlessly to Workers AI, R2, D1, Hyperdrive, Durable Objects, Queues, Workflows, and the rest of the Cloudflare platform. You can also run popular Python frameworks like FastAPI, Django, and Flask inside Python Workers. You can even create a Python Worker inside another Worker using Dynamic Workers.
The journey behind Python Workers
Bringing Python to Cloudflare Workers was a natural choice. Because Workers has supported WebAssembly since 2018, it gave us the perfect environment to run a Wasm-compiled Python interpreter. By using Pyodide, we were able to quickly support a wide range of Python applications in Cloudflare Workers.
Our goal was to create the first platform for infinitely scalable Python apps, while making it as easy and performant as developing Python apps anywhere else.
The features we are highlighting today are the result of this multi-year effort. Many developers are already building applications within Python Workers; today, we are making these capabilities production-ready for everyone.
Python is now a first-class language in the Cloudflare Workers runtime
Python Workers now natively support Cloudflare Developer Platform bindings. Previously, using these Cloudflare bindings in Python Workers required converting Python objects into TypeScript objects explicitly at the RPC boundary. To address this, we have encapsulated the entire type conversion process within the Workers runtime and the Python SDK. This allows you to utilize all Cloudflare bindings in a Pythonic way without writing a single line of JavaScript code.
Web frameworks: FastAPI, Django, and Flask
You can now run your favorite Python framework, such as FastAPI, Django, or Flask, to build an API server in Python Workers. We implemented a built-in connector that you can use to easily connect your web application to Python Workers via workers.asgi and workers.wsgi packages.
In Cloudflare Workers, the Workers platform itself serves as the web server. Since our global network already seamlessly handles load balancing and infinite scaling, we don’t need to reinvent the wheel by running a server inside Python Workers.
Using PostgreSQL and MySQL with Hyperdrive
If you are building a Python application using relational databases such as PostgreSQL or MySQL, you can now integrate Hyperdrive into Python Workers. Previously, Python Workers didn’t support TCP sockets, making database drivers unavailable. We implemented socket system calls using the Workers connect API, enabling database drivers like aiomysql and asyncpg to work through Hyperdrive bindings.
Expanding the WebAssembly package ecosystem
We proposed PEP 783, which standardizes a platform for running Python in the browser runtimes called PyEmscripten. After over a year of discussion and refinement, this proposal was accepted, enabling package maintainers to build and publish packages for the PyEmscripten platform.
Building AI agents and pipelines in Python
We contributed upstream to ensure HTTP clients like requests and httpx can route requests directly through the JavaScript fetch API in WebAssembly environments. Combined with new socket support, this makes AI libraries like openai, langchain, and mcp natively runnable in Python Workers, combinable with Workers AI and Cloudflare AI Gateway.
What you can build today
We have assembled a collection of production-ready patterns in our python-workers-examples repository, including asynchronous AI orchestration with Queues, Workflows, Workers AI, and R2; and real-time stream processing with Bluesky Jetstream WebSocket backed by Durable Objects.