kbcstorage

What it is and what it does

kbcstorage is a Python wrapper around the Keboola Storage API, designed to let you programmatically interact with Keboola Connection's data storage layer. It abstracts the HTTP API into Python classes and methods for common operations: exporting table data to local files, uploading data from files into tables, listing buckets and their contents, and retrieving table metadata. The package depends on boto3, azure-storage-blob, google-cloud-storage, and standard HTTP libraries (requests, urllib3) to support cloud storage backends.

You can use it either through a high-level Client class that bundles bucket and table operations, or by instantiating endpoint classes directly (Tables, Buckets) for finer control. It's intended for developers building ETL workflows, data pipelines, or integration scripts that need to move data in and out of Keboola Connection. The package is marked Production/Stable but is aging, so it may not cover all newer API endpoints.

Use it for:

• Export table data from Keboola Connection to local files for processing or backup.
• Upload processed data from local files back into Keboola Connection tables.
• List and inspect buckets and tables to discover available data in a Keboola project.
• Build automated ETL pipelines that read from and write to Keboola Storage.
• Retrieve table metadata and schema information for downstream data validation or documentation.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Python client for the Keboola Storage API that provides methods to interact with buckets, tables, and workspaces—exporting table data to files, creating tables, and listing bucket contents.

Yes, if you are working with Keboola Connection and need programmatic access to its Storage API from Python. The package has low install friction, permissive licensing, and no known vulnerabilities. However, note that maintenance is aging and the client does not yet cover the entire API surface, so verify that your required endpoints are implemented before committing to it.

Install

kbcstorage on PyPI

pip install kbcstorage

uv add kbcstorage

poetry add kbcstorage

Installing kbcstorage

Before you install

Low install friction with a pure Python wheel distribution. Maintenance status is aging—the last release was 211 days ago—so expect slower response to issues or feature requests, though the package is marked Production/Stable.

License in practice

MIT licensed under permissive terms, allowing commercial use, modification, and redistribution with minimal restrictions. No license friction for most projects.

Quickstart

from kbcstorage.client import Client

client = Client('https://connection.keboola.com', 'your-token')
client.tables.export_to_file(table_id='in.c-demo.some-table', path_name='/data/')
client.buckets.list()

Requires a valid Keboola Storage API token and connection URL; authentication credentials must be provided at client instantiation.

Verify before relying

• Full coverage of Keboola Storage API endpoints—documentation notes the client does not yet support the entire API surface.
• Performance characteristics and rate-limiting behavior when working with large tables or many buckets.
• Compatibility with all Keboola Connection environments beyond the standard connection.keboola.com endpoint.

Package facts

Evidence: kbcstorage-0.9.5-py3-none-any.whl

Keywords: keboola, storage

Tags

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