Can I use libraries like Pandas or NumPy?

While Workers have limited support for heavy data libraries via Pyodide, Cloudflare Containers are recommended for applications requiring full pandas/numpy support, native binaries, or GPU access.

When should I choose Containers over Workers?

Choose Workers for low-latency (<50ms) API endpoints and simple logic. Choose Containers for tasks requiring more than 10 seconds of compute, native Linux dependencies, or specific GPU resources.

How do I handle environment variables in this system?

Environment variables are defined in your wrangler.toml file and accessed within your Python code through the self.env attribute of the WorkerEntrypoint class.

How does Python run on Cloudflare Workers?

Python runs via Pyodide, which is CPython compiled to WebAssembly. This allows Python code to execute inside V8 isolates on Cloudflare's edge network with memory snapshotting for fast cold starts.

What is the best way to run FastAPI on Cloudflare?

This skill provides an ASGI adapter that allows you to wrap a standard FastAPI app and route edge fetch events directly into your application logic.

Python Cloudflare Deployment

Name: Python Cloudflare Deployment
Author: JosiahSiegel

byJosiahSiegel

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Infraestructura en la Nube

Deploys Python applications to Cloudflare's edge using Workers, Containers, and durable Workflows.

Acerca de

This skill provides a comprehensive toolkit for architecting and deploying Python services on the Cloudflare global network. It bridges the gap between traditional Python development and Cloudflare's unique runtime environments, offering specific patterns for Pyodide-based Workers, full Docker containers for heavy compute, and durable Workflows. Whether you are building low-latency FastAPI endpoints, running data-intensive GPU tasks, or managing complex stateful processes, this skill ensures optimal performance and scalability through best-practice configurations and implementation patterns.

Características Principales

FastAPI integration templates tailored for edge deployment
Optimized Python Worker patterns utilizing Pyodide and WebAssembly
7 GitHub stars
Advanced service bindings for seamless RPC communication between Workers
Durable execution patterns using Cloudflare Workflows in Python
Container deployment configurations for heavy compute and GPU workloads

Casos de Uso

Building ultra-low latency serverless APIs at the edge with FastAPI
Deploying heavy data processing tasks with Pandas or NumPy via Cloudflare Containers
Orchestrating multi-step, long-running business logic with stateful Workflows

Acerca de

Características Principales

FastAPI integration templates tailored for edge deployment
Optimized Python Worker patterns utilizing Pyodide and WebAssembly
7 GitHub stars
Advanced service bindings for seamless RPC communication between Workers
Durable execution patterns using Cloudflare Workflows in Python
Container deployment configurations for heavy compute and GPU workloads

Casos de Uso

Building ultra-low latency serverless APIs at the edge with FastAPI
Deploying heavy data processing tasks with Pandas or NumPy via Cloudflare Containers
Orchestrating multi-step, long-running business logic with stateful Workflows