Is Aws Lambda Powertools Safe?

Aws Lambda Powertools — Nerq Trust Score 68.5/100 (B- grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-03-31.

Use Aws Lambda Powertools with some caution. Aws Lambda Powertools is a Python package with a Nerq Trust Score of 68.5/100 (B-), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 80/100. Popularity: 80/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-31. Machine-readable data (JSON).

Is Aws Lambda Powertools safe?

CAUTION — Aws Lambda Powertools has a Nerq Trust Score of 68.5/100 (B-). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.

Security Analysis → {name} Privacy Report →

What is Aws Lambda Powertools's trust score?

Aws Lambda Powertools has a Nerq Trust Score of 68.5/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
80
Popularity
80

What are the key security findings for Aws Lambda Powertools?

Aws Lambda Powertools's strongest signal is security at 80/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Security score: 80/100 (strong)
Popularity: 80/100 — community adoption

What is Aws Lambda Powertools and who maintains it?

AuthorAmazon Web Services
Categorypypi
SourceN/A

Aws Lambda Powertools Across Platforms

Same developer/company in other registries:

aws-lambda-powertools
35/100 · crates
aws-sdk-bedrock
58/100 · gems
aws-sdk-managedblockchainquery
58/100 · gems
aws-sdk-sts
58/100 · gems
aws-sdk-gamesparks
58/100 · gems

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Safety Guide: Aws Lambda Powertools

What is Aws Lambda Powertools?

Aws Lambda Powertools is a Python package — Powertools for AWS Lambda (Python) is a developer toolkit to implement Serverless best practices and increase developer velocity..

How to Verify Safety

Run pip audit or safety check. Review on PyPI for download stats.

You can also check the trust score via API: GET /v1/preflight?target=aws-lambda-powertools

Key Safety Concerns for Python packages

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Trust Assessment

Aws Lambda Powertools has a Nerq Trust Score of 68/100 (B-) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

Detailed Score Analysis

DimensionScore
Security80/100
Privacy80/100
Reliability90/100
Transparency85/100
Maintenance60/100

Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.

What data does Aws Lambda Powertools collect?

Aws Lambda Powertools is a Python package maintained by Amazon Web Services. It receives approximately 4,779,357 weekly downloads. Licensed under MIT.

As a development package, Aws Lambda Powertools does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.

Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.

Full analysis: Aws Lambda Powertools Privacy Report · Privacy review

Is Aws Lambda Powertools secure?

Security score: 80/100. Aws Lambda Powertools has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.

Licensed under MIT, allowing code inspection. Open-source packages allow independent security review of the source code.

Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.

Full analysis: Aws Lambda Powertools Security Report

Aws Lambda Powertools Across Platforms

Same developer/company in other registries:

aws-lambda-powertools (crates, 35/100)aws-sdk-bedrock (gems, 58/100)aws-sdk-managedblockchainquery (gems, 58/100)aws-sdk-sts (gems, 58/100)

How we calculated this score

Aws Lambda Powertools's trust score of 68.5/100 (B-) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (80/100), privacy (80/100), reliability (90/100), transparency (85/100), maintenance (60/100). Each dimension is weighted equally to produce the composite trust score.

Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.

This page was last reviewed on March 31, 2026. Data version: 1.0.

Full methodology documentation · Machine-readable data (JSON API)

Frequently Asked Questions

Is Aws Lambda Powertools safe to use?
Use with some caution. aws-lambda-powertools has a Nerq Trust Score of 68.5/100 (B-). Strongest signal: security (80/100). Score based on security (80/100), popularity (80/100).
What is Aws Lambda Powertools's trust score?
aws-lambda-powertools: 68.5/100 (B-). Score based on: security (80/100), popularity (80/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=aws-lambda-powertools
What are safer alternatives to Aws Lambda Powertools?
In the pypi category, more Python packages are being analyzed — check back soon. aws-lambda-powertools scores 68.5/100.
Does Aws Lambda Powertools have known vulnerabilities?
Nerq checks Aws Lambda Powertools against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 80/100. Run your package manager's audit command for the latest findings.
How actively maintained is Aws Lambda Powertools?
Aws Lambda Powertools has a trust score of 68.5/100 (B-). Below Nerq Verified threshold — conduct additional review.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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