awslambdaric

What it is and what it does

awslambdaric is the official AWS Lambda Runtime Interface Client for Python. It implements the Lambda Runtime API, enabling you to package Python Lambda functions in custom Docker container images rather than relying on AWS-managed runtimes. You install it in your Dockerfile, set it as the entrypoint, and point it to your handler function; the package then manages the communication protocol between your code and the Lambda service.

The package supports Python 3.9 through 3.13 and is distributed as pre-built wheels for common Linux architectures (x86_64 and aarch64, both glibc and musl variants). It has two runtime dependencies: simplejson and snapshot-restore-py. The package is actively maintained by AWS, with no known security vulnerabilities, and is suitable for production use.

Use it for

• Package Python Lambda functions in custom base images (Amazon Linux 2, Alpine, Debian, Ubuntu) to control dependencies and layer sizes.
• Extend existing Docker images to be Lambda-compatible without rewriting your application code.
• Use the Lambda Runtime Interface Emulator locally to test container-based Lambda functions before deployment.
• Build Lambda functions that require system libraries or compiled dependencies not available in AWS-managed runtimes.
• Implement custom Python runtimes or middleware that wrap the Lambda Runtime API for specialized workloads.

Worth the install?

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

Install

awslambdaric on PyPI

Before you install

Medium install friction due to binary wheel distribution across multiple Python versions and architectures; however, the package is actively maintained (last commit 2026-08-13) with no known vulnerabilities and supports current Python versions (3.9 through 3.13).

Requires Docker to build and run Lambda container images; the package itself runs only on Linux (manylinux2014 or musllinux distributions).

License in practice

Licensed under Apache-2.0 (permissive), allowing free use, modification, and distribution in both open-source and proprietary projects with minimal restrictions.

Quickstart

pip install awslambdaric

# In your Dockerfile:
ENTRYPOINT [ "/usr/local/bin/python", "-m", "awslambdaric" ]
CMD [ "app.handler" ]

# In app.py:
def handler(event, context):
    return "Hello World!"

Package facts

Evidence: awslambdaric-4.0.2-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; awslambdaric-4.0.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; awslambdaric-4.0.2-cp310-cp310-musllinux_1_2_aarch64.whl; awslambdaric-4.0.2-cp310-cp310-musllinux_1_2_x86_64.whl; awslambdaric-4.0.2-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; awslambdaric-4.0.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; awslambdaric-4.0.2-cp311-cp311-musllinux_1_2_aarch64.whl; awslambdaric-4.0.2-cp311-cp311-musllinux_1_2_x86_64.whl; awslambdaric-4.0.2-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; awslambdaric-4.0.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; awslambdaric-4.0.2-cp312-cp312-musllinux_1_2_aarch64.whl; awslambdaric-4.0.2-cp312-cp312-musllinux_1_2_x86_64.whl; awslambdaric-4.0.2-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; awslambdaric-4.0.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; awslambdaric-4.0.2-cp313-cp313-musllinux_1_2_aarch64.whl; awslambdaric-4.0.2-cp313-cp313-musllinux_1_2_x86_64.whl; awslambdaric-4.0.2-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; awslambdaric-4.0.2-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; awslambdaric-4.0.2-cp314-cp314-musllinux_1_2_aarch64.whl; awslambdaric-4.0.2-cp314-cp314-musllinux_1_2_x86_64.whl

Tags

More Application Frameworks packages

See also apig-wsgi · python-on-whales · mangum · awscli · aws-cdk.aws-apprunner-alpha · awsgi2 · aws-cdk.asset-kubectl-v20 · boto3 · aws-cdk.aws-lambda-python-alpha · botocore