Can I use standard Python libraries like 'requests' in Cloudflare Workers?

No, you must use async-compatible libraries like 'httpx' or 'aiohttp'. Cloudflare Workers run on an asynchronous event loop, and synchronous libraries will cause runtime errors.

How do I access Cloudflare D1 or KV from my Python code?

Bindings are accessed through the 'self.env' object within your WorkerEntrypoint class. For example, 'await self.env.DB.prepare(...)' for D1 or 'await self.env.KV.get(...)' for KV storage.

Does every Python package work with Cloudflare Workers?

No. Only pure Python packages and those pre-compiled for the Pyodide (WebAssembly) ecosystem are supported. Packages requiring native C extensions that aren't in Pyodide will not work.

How do Python Workflows handle long-running tasks?

Python Workflows use durable execution. By wrapping I/O in '@step.do' decorators, the workflow persists state at each step, allowing it to survive restarts and handle automatic retries.

What is the WorkerEntrypoint pattern?

It is the modern class-based structure for Python Workers that replaced global handlers. It provides a more organized way to manage state and access Cloudflare bindings via 'self.env'.

Cloudflare Python Workers

Name: Cloudflare Python Workers
Author: jezweb

byjezweb

•

117

Infraestructura en la Nube

Builds and deploys Python-based serverless APIs and durable workflows on Cloudflare's edge network using the modern Pyodide runtime.

Acerca de

This skill provides specialized guidance for developing Python applications on Cloudflare Workers, emphasizing the modern WorkerEntrypoint class structure over legacy patterns. It enables developers to leverage the Python ecosystem at the edge, supporting everything from simple REST APIs to complex, multi-step automation via Python Workflows. The skill helps prevent common pitfalls such as synchronous I/O errors and package compatibility issues, ensuring seamless integration with Cloudflare bindings like D1, KV, and R2 while optimizing for the Pyodide-powered WASM environment.

Características Principales

Full integration guidance for Cloudflare bindings including D1, KV, R2, and Workers AI.
Durable multi-step automation using Python Workflows with @step.do decorators and DAG dependencies.
117 GitHub stars
Implementation of the modern WorkerEntrypoint class pattern for Python serverless functions.
Foreign Function Interface (FFI) support for accessing JavaScript APIs directly from Python code.
Optimization strategies for async-compatible libraries like HTTPX and aiohttp.

Casos de Uso

Deploying Python-based data processing or AI inference tasks without traditional server overhead.
Building high-performance serverless Python APIs and microservices at the network edge.
Creating durable, stateful automation workflows with automatic retries and dependency management.

Acerca de

Características Principales

Full integration guidance for Cloudflare bindings including D1, KV, R2, and Workers AI.
Durable multi-step automation using Python Workflows with @step.do decorators and DAG dependencies.
117 GitHub stars
Implementation of the modern WorkerEntrypoint class pattern for Python serverless functions.
Foreign Function Interface (FFI) support for accessing JavaScript APIs directly from Python code.
Optimization strategies for async-compatible libraries like HTTPX and aiohttp.

Casos de Uso

Deploying Python-based data processing or AI inference tasks without traditional server overhead.
Building high-performance serverless Python APIs and microservices at the network edge.
Creating durable, stateful automation workflows with automatic retries and dependency management.