Skip to main content

Welcome to Ordeq!

Release Docs PyPI PyPI - Downloads License: MIT Static Badge

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
Joblib
Joblib
HuggingFace
HuggingFace
SentenceTransformers
st
Requests
Requests
Pydantic
Pydantic
DuckDB
DuckDB
Networkx
NetworkX
TOML
TOML
PyMuPDF
PyMuPDF

Plotting

Matplotlib
Matplotlib
Altair
Altair
Plotly Express
Plotly Express

Cloud storage

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

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

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.

Metadata

Release files for ordeq_polars 1.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ordeq_polars 1.1.2
File Size Uploaded Provenance Actions
ordeq_polars-1.1.2.tar.gz 10.0 kB Without provenance Details for ordeq_polars-1.1.2.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for ordeq_polars 1.1.2
File Interpreter ABI Platform Actions
ordeq_polars-1.1.2-py3-none-any.whl Python 3 none any Details for ordeq_polars-1.1.2-py3-none-any.whl

Total release size: 21.7 kB

Release files / ordeq_polars-1.1.2.tar.gz

Download URL ordeq_polars-1.1.2.tar.gz
Size 10.0 kB
Tags Source
SHA-256 checksum
How to use checksums
60017fcafce668387e26d47285f9243ceea9df7114ccd905a61123dc123e3fc8
BLAKE2b-256 checksum
How to use checksums
f0f4a48c1fd60c6313336f4a4c7b7706f6ad4b15f1d919349e1fac17f0409057
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.9.9 {"installer":{"name":"uv","version":"0.9.9"},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / ordeq_polars-1.1.2-py3-none-any.whl

Download URL ordeq_polars-1.1.2-py3-none-any.whl
Size 11.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
37176ef93f4db8dda2a0dbe5a474cb1b0e8ba80d33f1cbf5a57ac5372e9b3653
BLAKE2b-256 checksum
How to use checksums
0935016616a8caddc5a38b6405719f620d87abf6bc0175d3eba6f67e514d45ab
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.9.9 {"installer":{"name":"uv","version":"0.9.9"},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Security for ordeq_polars 1.1.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page