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Command line interface for the Ordeq runner

Project description

Welcome to Ordeq!

Release Docs PyPI PyPI - Downloads License: MIT

Ordeq is a framework for developing data pipelines. It simplifies IO and modularizes pipeline logic. Ordeq elevates your proof-of-concept to a production-grade pipelines. See the introduction for an easy-to-follow example of how Ordeq can help.

Installation

Ordeq is available under MIT license. Please refer to the license and notice for more details.

To install Ordeq, run:

uv pip install ordeq

Integrations

Ordeq integrates seamlessly with existing tooling. It provides integrations with many popular libraries out of the box. You can install them as needed. For example, for reading and writing data with Pandas, install the ordeq-pandas package:

uv pip install ordeq-pandas

Some of the available integrations:

Data processing

Pandas
Pandas
Spark
Spark
NumPy
Numpy
Polars
Polars
Ibis
Ibis
Matplotlib
Matplotlib
Joblib
Joblib
HuggingFace
HuggingFace
SentenceTransformers
st
Requests
Requests
Pydantic
Pydantic
DuckDB
DuckDB
Altair
Altair
Networkx
NetworkX
TOML
TOML
PyMuPDF
PyMuPDF

Have a look at the package overview and API reference for a list of available packages.

Cloud storage

Google Cloud Storage
Google Cloud Storage
Azure
Azure Storage Blob
AWS S3
AWS S3
Boto3
Boto3

Documentation

Documentation is available at https://ing-bank.github.io/ordeq/.

Why consider Ordeq?

  • Ordeq is the GenAI companion: it gives your project structure and consistency, such that GenAI can thrive
  • It offers seamless integrations with existing data & ML tooling, such as Spark, Pandas, Pydantic and PyMuPDF, and adding new integrations is trivial
  • It's actively developed and trusted by data scientists, engineers, analysts and machine learning engineers at ING

Learning Ordeq

To learn more about Ordeq, check out the following resources:

Acknowledgements

Ordeq builds upon design choices and ideas from Kedro and other frameworks. It has been developed at ING, with contributions from various individuals. Please refer to the acknowledgements section in the documentation for more details.

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