CLI tool for creating a Python Package Repository in an S3 bucket.
Clone or download
Matteo De Wint
Latest commit 8458d28 Jul 10, 2018


S3PyPI is a CLI tool for creating a Python Package Repository in an S3 bucket.

An extended tutorial on using this tool can be found here.


Install the latest version:

pip install --upgrade s3pypi

Install the development version:

git clone -b develop
cd s3pypi/ && sudo pip install -e .

Setting up S3 and CloudFront

Before you can start using s3pypi, you must set up an S3 bucket for your Python Package Repository, with static website hosting enabled. Additionally, you need a CloudFront distribution for serving the packages in your S3 bucket to pip over HTTPS. Both of these resources can be created using the CloudFormation templates provided in the cloudformation/ directory:

aws cloudformation create-stack --stack-name STACK_NAME \
    --template-body file://cloudformation/s3-pypi.json \
    --parameters ParameterKey=AcmCertificateArn,ParameterValue=ACM_CERT_ARN \

Managing Your Server Certificates

Distributing packages

You can now use s3pypi to create Python packages and upload them to your S3 bucket. To hide packages from the public, you can use the --private option to prevent the packages from being accessible directly via the S3 bucket (they will only be accessible via Cloudfront and you can use WAF rules to protect them), or alternatively you can specify a secret subdirectory using the --secret option:

cd /path/to/your/awesome-project/
s3pypi --bucket mybucket [--private] [--secret SECRET]

Installing packages

Install your packages using pip by pointing the --extra-index-url to your CloudFront distribution (optionally followed by a secret subdirectory):

pip install --upgrade awesome-project --extra-index-url

Alternatively, you can configure the index URL in ~/.pip/pip.conf:

extra-index-url =