otterbrix 1.0.1a9

Otterbrix: computation framework for Semi-structured data processing.

Otterbrix: computation framework for semi-structured data processing

About Otterbrix

Otterbrix is an open-source framework for developing conventional and analytical applications. By adding the Otterbrix module to their applications, developers unlock the ability to quickly process unstructured and loosely structured data.

Particularly, Otterbrix enables inserting data without schema creation, see the example below:

client = Client()
c = client.execute("SELECT * FROM schema.table WHERE count = 1000;")
c.close()

Otterbrix seamlessly integrates with column-oriented memory format and can represent both flat and hierarchical data for efficient analytical operations.

Get Started

Get started with Otterbrix using our installation and usage example below:

Installation

Otterbrix is available as a Python package on PyPI. You can install it using pip.

pip install "otterbrix==1.0.1a9"

Development

The Otterbrix team aims at keeping the code readable and consistent with the surrounding code where possible. A detailed code style guide is work in progress.

Contributing

See CONTRIBUTING for contribution requirements.

Security

See the project security policy for information about reporting vulnerabilities.

Build requirements

To correctly build Otterbrix, you will need the most current version of Docker.

Building Otterbrix

The current version of Otterbrix can be built in Dockerfiles only. If you need assistance when building Otterbrix, please contact our team.

Troubleshooting

In case you've encountered any issues, please feel free to create them right here on GitHub!