explaingit

donnemartin/awesome-aws

14,022PythonAudience · developerComplexity · 1/5Setup · easy

TLDR

A curated directory of the best tools, libraries, guides, and communities for Amazon Web Services, organized by programming language and service with a live popularity rating system.

Mindmap

mindmap
  root((awesome-aws))
    Code libraries
      Python JavaScript
      Go Java
      Other languages
    Tools
      CLI tools
      Open source projects
      Service wrappers
    Learning
      Beginner guides
      Books courses
      Official docs
    Community
      Blogs podcasts
      Twitter YouTube
      Service overviews
Click or tap to explore — scroll the page freely

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Things people build with this

USE CASE 1

Find the best Python or JavaScript library for interacting with a specific AWS service

USE CASE 2

Discover open-source tools built on top of AWS S3, Lambda, DynamoDB, or other services

USE CASE 3

Get a plain-English overview of what each AWS service does before deciding which one to use

USE CASE 4

Find beginner guides, books, and communities for getting started with AWS

Tech stack

Python

Getting it running

Difficulty · easy Time to first run · 5min

No setup, browse the README directly on GitHub. A background Python script maintains the Fiery Meter star-count ratings automatically.

Check the repository for specific license terms.

In plain English

This repository is a curated directory of resources related to Amazon Web Services (AWS), the cloud computing platform run by Amazon. AWS is a collection of online services that let you store files, run programs, send messages, and build websites without managing your own physical servers. This list organizes the best tools, code libraries, guides, and communities around those services in one place. The directory is organized into several major sections. There are code libraries grouped by programming language (Python, JavaScript, Go, Java, and many others) that let developers interact with AWS from their own programs. There are command-line tools for controlling AWS from a terminal window. There are also sections covering open source projects built on top of individual AWS services, such as storage, databases, queues, and computing. Beyond code, the list points to learning materials including beginner guides, books, official documentation, and training courses. It also links to blogs, Twitter accounts, YouTube channels, and online communities where people discuss AWS. A final section provides a plain-English overview of what each AWS service actually does, which can be useful if you have heard a service name but do not know what it is for. A small Python script runs regularly in the background to check which of the listed repositories are still active and to maintain a star-count rating system called the Fiery Meter of AWSome. Repositories with more stars get more fire emoji to signal their popularity. This keeps the list from going stale. The full README is longer than what was shown.

Copy-paste prompts

Prompt 1
I'm building a Python app that uploads files to AWS S3 and sends queue messages via SQS. Which libraries from the awesome-aws list should I use and how do I install them?
Prompt 2
I'm new to AWS. Using the awesome-aws plain-English service overviews, explain the difference between EC2, Lambda, and ECS in simple terms.
Prompt 3
What CLI tools does the awesome-aws list recommend for managing AWS infrastructure from the terminal, and what does each one do best?
Prompt 4
Build me a learning path for AWS from zero to deploying a web app, using the guides and courses listed in the awesome-aws repository.
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