Skip to main content

NetworkX integration for Ordeq

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ordeq_networkx-1.0.0.tar.gz (8.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ordeq_networkx-1.0.0-py3-none-any.whl (7.7 kB view details)

Uploaded Python 3

File details

Details for the file ordeq_networkx-1.0.0.tar.gz.

File metadata

  • Download URL: ordeq_networkx-1.0.0.tar.gz
  • Upload date:
  • Size: 8.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.2

File hashes

Hashes for ordeq_networkx-1.0.0.tar.gz
Algorithm Hash digest
SHA256 9edebeb229ae9273ac8251d1e1cb73902e55d2f3542b94de8ed0bc58cfd82de6
MD5 7748d2078e0abcd579f73067584e6dd6
BLAKE2b-256 a32b2fcf6831bd27657de3534afbf1373e8434b74ef51839d89975044f89e955

See more details on using hashes here.

File details

Details for the file ordeq_networkx-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for ordeq_networkx-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d97cfff7ba89cf6975a0863dd6b3b29e3e383e238b02408e1becf93977fad008
MD5 1daae52df59ec59ac3a37bf67aa722d0
BLAKE2b-256 5a9124b6d9ef5df38686539298e052581c72e6434ddf34770e04ccf9c38af86f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page