Metadata-Version: 2.2
Name: orca
Version: 1.8
Summary: Python library for task orchestration
Home-page: https://github.com/udst/orca
Author: UrbanSim Inc.
Author-email: info@urbansim.com
License: BSD
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: BSD License
License-File: LICENSE.txt
Requires-Dist: pandas>=0.15.0
Requires-Dist: tables>=3.1
Requires-Dist: toolz>=0.8.1
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: license
Dynamic: requires-dist
Dynamic: summary

.. image:: https://img.shields.io/badge/coverage-97%25-green
  :alt: Coverage

Orca
====

Orca is a Python library for task orchestration. It's designed for workflows like city simulation, where the data representing a model's state is so large that it needs to be managed outside of the task graph.

The building blocks of a workflow are "steps", Python functions that can be assembled on the fly into linear or cyclical pipelines. Steps typically interact with a central data store that persists in memory while the pipeline runs. Derived tables and columns can be updated automatically as base data changes, and pipeline components are evaluated lazily to reduce unnecessary overhead.

Orca is used in `UrbanSim <https://github.com/udst/urbansim>`__ and other projects.

Documentation
-------------

- `udst.github.io/orca/ <https://udst.github.io/orca/>`__

Installation
------------

- ``pip install orca``
- ``conda install orca --channel conda-forge``
