# Amazon Web Services - Labs — developer ecosystem report

> AWS Labs

- GitHub org: `awslabs`
- Category: platform
- Overall score: 44.0 / 100
- Overall rank: #372
- Last refreshed: 2026-08-20

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 75.0 | #53 | ~22% |
| Education | 45.0 | #867 | ~18% |
| AI readiness | 27.0 | #519 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 54.0 | #95 | ~16% |
| Reach | 18.0 | #917 | ~18% |
| Momentum | 82.0 | #12 | ~14% |

## Links

- GitHub: https://github.com/awslabs
- Website: http://amazon.com
- Docs: https://docs.amazon.com

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 99,355 |
| Forks | 20,534 |
| Open issues | 4,309 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [git-secrets](https://github.com/awslabs/git-secrets) | 13,369 | Shell | Prevents you from committing secrets and credentials into git repositories |
| [mcp](https://github.com/awslabs/mcp) | 9,620 | Python | Open source MCP Servers for AWS |
| [llrt](https://github.com/awslabs/llrt) | 8,787 | Rust | LLRT (Low Latency Runtime) is an experimental, lightweight JavaScript runtime designed to address the growing demand for |
| [mountpoint-s3](https://github.com/awslabs/mountpoint-s3) | 5,751 | Rust | A simple, high-throughput file client for mounting an Amazon S3 bucket as a local file system. |
| [gluonts](https://github.com/awslabs/gluonts) | 5,228 | Python | Probabilistic time series modeling in Python |
| [aidlc-workflows](https://github.com/awslabs/aidlc-workflows) | 4,085 | Python | AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents |
| [deequ](https://github.com/awslabs/deequ) | 3,641 | Scala | Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large  |
| [aws-sdk-rust](https://github.com/awslabs/aws-sdk-rust) | 3,336 | Rust | AWS SDK for the Rust Programming Language |
| [agentcore-samples](https://github.com/awslabs/agentcore-samples) | 3,295 | Python | Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to re |
| [amazon-redshift-utils](https://github.com/awslabs/amazon-redshift-utils) | 2,806 | Python | Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment |
| [amazon-ecr-credential-helper](https://github.com/awslabs/amazon-ecr-credential-helper) | 2,714 | Go | Automatically gets credentials for Amazon ECR on docker push/docker pull |
| [amazon-eks-ami](https://github.com/awslabs/amazon-eks-ami) | 2,668 | Go | Packer configuration for building a custom EKS AMI |

## Methodology

Scores are computed from public signals only (GitHub, package registries, docs sites, community platforms). Pillar definitions: https://www.smoower.com/docs.md

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