Registry / data / datarobot-storage

datarobot-storage

library2.2.0pypypi✓ verified 81d ago

A library providing reusable storage access (S3, GCS, Azure Blob, local filesystem) for DataRobot. Current version 2.2.0, compatible with Python >=3.9, <4.0. Released under the MIT license with quarterly updates.

data aws gcp azure

pip install datarobot-storage

package ↗homepage ↗

INSTALL

IMPORT

SIG · DATAROBOT-STORAGE

datarobot-storage

datapythonv2.2.0

Install

8.5s avg

Import

—

Disk

93MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v2.2.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 92.7MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 8.5s · import 0.000s · 94MB

93MB installed

● package 93MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

get_storage

✓ from datarobot_storage import get_storage

✗ from datarobot_storage import Storage

get_async_storage

✓ from datarobot_storage import get_async_storage

put_generator

✓ from datarobot_storage import put_generator

Initialize an S3-backed storage and upload a file.

from datarobot_storage import Storage from datarobot_storage.backends import S3Backend backend = S3Backend( bucket='my-bucket', aws_access_key_id=os.environ.get('AWS_ACCESS_KEY_ID', ''), aws_secret_access_key=os.environ.get('AWS_SECRET_ACCESS_KEY', '') ) storage = Storage(backend) storage.upload('local/path.txt', 'remote/path.txt')

Debug

Known issues

breakingv2.0.0 renamed the main package from datarobot.storage to datarobot_storage. All imports must use underscores.

fix

Update imports: replace datarobot.storage with datarobot_storage.

affects: <2.0.0

breakingStorage constructor now requires a backend object instead of a dict configuration.

fix

Instantiate a backend explicitly (e.g., S3Backend(...)) and pass to Storage.

affects: <2.0.0

gotchaEnvironment variables for credentials are not automatically picked up; you must pass them explicitly unless using an IAM role or service account.

fix

Pass aws_access_key_id and aws_secret_access_key explicitly, or configure boto3 default session.

affects: all

Upgrade

Version history

2.2.0latest on PyPI · released Apr 22, 2025

Audit

Dependencies

boto3optionalS3 storage backend

google-cloud-storageoptionalGCS storage backend

azure-storage-bloboptionalAzure Blob storage backend

Agent activity

42 hits · last 30 days

node

OpenAI (training)

Resources

packagehttps://pypi.org/project/datarobot-storage/ ↗

homepagehttps://www.datarobot.com ↗