How to access private object storage using S3cmd or boto3 on EO-Lab


Private object storage (buckets within user’s project) can be used in various ways. For example, to access files located in object storage, buckets can be mounted and used as a file system using s3fs. Other tools which can be used to achieve better performance are S3cmd (command line tool) and boto3 (AWS SDK for Python).


In order to acquire access to Object Storage buckets via S3cmd, first you have to generate your own EC2 credentials with this tutorial How to Generate EC2 Credentials on EO-Lab.

Once EC2 credentials are generated, ensure that your instance or local machine is equipped with S3cmd:

s3cmd --version

If not, S3cmd can be installed with:

apt install s3cmd

Now S3cmd can be configured with the following command:

s3cmd --configure

Input and confirm (by pressing Enter) the following values:

New settings:
     Access Key: (your EC2 Access Key)
     Secret Key: (your EC2 Secret Key)
     Default Region: 
     S3 Endpoint:
     DNS-style bucket+hostname:port template for accessing a bucket:
     Encryption password: (your password)
     Path to GPG program: /usr/bin/gpg
     Use HTTPS protocol: yes
     HTTP Proxy server name:
     HTTP Proxy server port: 0

     Test access with supplied credentials? [Y/n] y
     Please wait, attempting to list all buckets...
     Success. Your access key and secret key worked fine :-)

     Now verifying that encryption works...
     Not configured. Never mind.

     Save settings? [y/N] y

After this operation, you should be allowed to list and access your Object Storage.

List your buckets with:

eouser@vm01:$ s3cmd ls
2022-02-02 22:22  s3://bucket

To see available commands for S3cmd, type the following command:

s3cmd -h



We strongly recommend using virtualenv for isolating python packages. Configuration tutorial is this: How to install Python virtualenv or virtualenvwrapper on EO-Lab

If virtualenv is activated:

(myvenv) eouser@vm01:~$ pip3 install boto3

Or if we install the package globally:

eouser@vm01:~$ sudo pip3 install boto3

Simple script for accessing your private bucket:

import boto3

def boto3connection(access_key,secret_key,bucketname):
aws_secret_access_key=secret_key, endpoint_url=host,)

for obj in bucket.objects.filter():
       print('{0}:{1}'.format(, obj.key))

#For Python3
x = input('Enter your access key:')
y = input('Enter your secret key:')
z = input('Enter your bucket name:')


Save your file with .py extension and execute the following command in the terminal:

python3 <>

Enter the access key, secret key and bucket name. If everything is correct, you should see output in the following format: <bucket_name>:<file_name>.