donnemartin

awesome-aws: Find AWS Tools, Guides, and Learning Resources

A curated directory of AWS SDKs, command-line tools, service-specific projects, guides, and community resources. Useful for discovering options across the AWS ecosystem, but its long period without updates means entries should be verified.

Stars
14.2k
Forks
1.9k
Stars, last 8 days
+9
Last commit
2.6 years ago
Contributors
61

Our take

Inactiveno commits in over a year

Health score

28/100

How it is scored
Activity
20
Community
49
Issues
21
Pull requests
21

+9 stars in the last 8 days

This is a broad discovery index rather than a maintained AWS toolkit, and its inactivity and concentrated maintenance make it best used as a starting point for research.

Good fit if

  • You want a categorized map of AWS-related projects, documentation, and learning resources.
  • You are exploring SDKs or tools for a specific AWS service and will check the linked projects for current status.
  • You want historical or community context across the AWS ecosystem.

Look elsewhere if

  • You need a reliably current directory, since the repository has had no commits in over a year and no recent releases.
  • You need a supported Python package rather than a collection of links.
  • You require clear licensing terms for this repository before reuse, since its license is not identified in the available metadata.
All health signals
Last commit2024-03-12 (2.6 years ago)
Commits, last 90 days0
Releases, last 12 months0 (latest 0.1.0, 2015-12-21)
Contributors61 (top contributor: 88% of commits)
Issues closed, last 90 days0
Pull requests merged, last 90 days0
Project age11 years

Checked on 2026-10-12 with the GitHub API.

Overview

awesome-aws is a categorized directory for discovering libraries, open-source projects, guides, documentation, training, and community resources related to Amazon Web Services. It organizes links by language, AWS service, and topic, helping readers explore an ecosystem that can otherwise be difficult to navigate.

The repository also describes a Python module that scans listed repositories to maintain its “Fiery Meter of AWSome,” a star-based indicator. The main value for most readers is the directory itself, not a software product to deploy.

Key Features

  • Groups SDKs and samples by language, including Python, Java, JavaScript, Go, and others.
  • Lists command-line tools and IDE toolkits for AWS development.
  • Organizes projects by AWS service, including Lambda, S3, DynamoDB, CloudFormation, and CloudWatch.
  • Includes broader categories for data, DevOps, security, and miscellaneous AWS projects.
  • Links to getting-started guides, books, whitepapers, documentation, training, and case studies.
  • Collects AWS-related blogs, social communities, and conferences.
  • Provides an appendix describing AWS services in plain English.
  • Uses a star-based “Fiery Meter” to indicate repository popularity in the list.

Use Cases

  • An AWS newcomer can use the service descriptions and guides to find a starting point for learning a particular part of AWS.
  • A developer evaluating SDKs or service integrations can compare linked projects by language and AWS service.
  • A platform or DevOps engineer can browse tools for infrastructure management, deployment, monitoring, and security.
  • A researcher or technical writer can use the categorized links to discover AWS community projects and reference material, then verify that each is still maintained.

What you need

Detected in the repository

  • Python (from setup.py)
  • A test suite

Getting Started

Open the README and follow its index to the AWS service or resource category you need. Check each linked project’s own documentation and maintenance status before adopting it.

License in Plain Words

No standard license was detected. Without a license, the default copyright rules apply: you may read the code, but not reuse it. Check the repository or ask the authors.

Considerations

The repository is marked inactive: it has had no commits in over a year and no releases in the past year. Although it has 61 contributors, most of the code comes from one person, and there has been no recent issue or pull-request activity in the measured period. That makes ongoing curation uncertain, so links, recommendations, and popularity indicators should be treated as a snapshot rather than current guidance.

The repository describes a Python module, but the README does not provide a user-facing install or run command for it. The list itself can be browsed without setting up the module. The available license metadata is NOASSERTION, so review the repository’s license file and applicable terms before reusing its content.

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