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aws-cdk.asset-kubectl-v20

A Lambda Layer that contains kubectl v1.20

With conditionsPyPI Build ToolsReleased Feb 20251.3M downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — aws_cdk.asset_kubectl_v20-2.1.4-py3-none-any.whl
v2.1.4 · released 2025-02-07 · Python ~=3.8 · 3 runtime deps: jsii, publication, typeguard

Yes, if you need kubectl or Helm available in Lambda functions and the bundled versions (kubectl v1.36.3, Helm v4.2.3) match your cluster requirements. The package is actively maintained, has no known vulnerabilities, and low install friction. Verify version compatibility with your Kubernetes infrastructure before adopting.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.8 or later; the layer is only usable within AWS Lambda execution environments.
  • Low install friction with three lightweight runtime dependencies.
  • Actively maintained with last commit on 2026-08-12 and no known vulnerabilities.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions.

last release 2025-02-07 (553 days) · last repo commit 2026-08-12 · 27 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,298,499 downloads/mo, #4,090 on PyPI

Verify before relying

pip install aws-cdk.asset-kubectl-v20

from aws_cdk.asset_kubectl_v20 import KubectlV36Layer

kubectl_layer = KubectlV36Layer(self, 'KubectlLayer')
my_function.add_layers(kubectl_layer)
  • Whether the bundled kubectl v1.36.3 and Helm v4.2.3 versions are compatible with your target Kubernetes clusters
  • Performance and cold-start impact when adding this layer to Lambda functions
  • Whether the /opt/kubectl and /opt/helm paths integrate with your Lambda execution environment
Same gist for agents: .md · .json

What it is and what it does

This package is a Lambda Layer that bundles kubectl v1.36.3 and Helm v4.2.3 as pre-compiled command-line tools. When added to a Lambda function, it makes these tools available at /opt/kubectl/kubectl and /opt/helm/helm without requiring compilation or installation during deployment. The package depends on jsii, publication, and typeguard and supports Python 3.8 through 3.11.

It's designed for developers who need to interact with Kubernetes clusters from Lambda functions. By packaging the tools as a layer, you avoid the overhead of building and bundling them yourself, making it practical to run kubectl or Helm commands as part of serverless automation workflows.

Use it for

  • Deploy or update Kubernetes resources from Lambda functions triggered by AWS events
  • Automate Helm chart deployments as part of infrastructure-as-code pipelines
  • Run kubectl commands against Kubernetes clusters from Lambda without manual tool bundling
  • Build serverless automation workflows that interact with Kubernetes clusters

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need kubectl or Helm available in Lambda functions and the bundled versions (kubectl v1.36.3, Helm v4.2.3) match your cluster requirements.

The package is actively maintained, has no known vulnerabilities, and low install friction. Verify version compatibility with your Kubernetes infrastructure before adopting.

Install

aws-cdk-asset-kubectl-v20 on PyPI

Before you install

Low install friction with three lightweight runtime dependencies. Actively maintained with last commit on 2026-08-12 and no known vulnerabilities.

Requires Python 3.8 or later; the layer is only usable within AWS Lambda execution environments.

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions.

Quickstart

pip install aws-cdk.asset-kubectl-v20

from aws_cdk.asset_kubectl_v20 import KubectlV36Layer

kubectl_layer = KubectlV36Layer(self, 'KubectlLayer')
my_function.add_layers(kubectl_layer)

Verify before relying

  • Whether the bundled kubectl v1.36.3 and Helm v4.2.3 versions are compatible with your target Kubernetes clusters
  • Performance and cold-start impact when adding this layer to Lambda functions
  • Whether the /opt/kubectl and /opt/helm paths integrate with your Lambda execution environment

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release ~=3.8
Install frictionLow. Pure-Python wheel
Runtime dependencies
3 packages
jsiipublicationtypeguard
MaintenanceActively maintained 553 days since the last release
Last repo commit
First released
Downloads1,298,499 / month, #4,090 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI ApprovedOperating System :: OS IndependentProgramming Language :: JavaScriptProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Typing :: Typed

Evidence: aws_cdk.asset_kubectl_v20-2.1.4-py3-none-any.whl

Tags

Capabilities
lambda layer kubectl helmaws lambda kubernetes toolskubectl in lambda functionhelm command line layerkubernetes tools aws lambdalambda layer deployment toolsserverless kubernetes automation
Topics
aws-lambdakuberneteslambda-layer

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See also aws-cdk.lambda-layer-kubectl-v35 · pyhelm3 · aws-cdk.asset-awscli-v1 · aws-cdk.asset-node-proxy-agent-v6 · aws-cdk.asset-node-proxy-agent-v5 · aws-cdk.aws-lambda-python-alpha · epik8s-tools · aws-cdk.aws-imagebuilder · aws-cdk.aws-sam · flux-local