Python library for task orchestration
Project description
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 and other projects.
Documentation
Installation
pip install orca
conda install orca --channel conda-forge
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file orca-1.6.tar.gz.
File metadata
- Download URL: orca-1.6.tar.gz
- Upload date:
- Size: 243.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 083d85245b8bb8cc346e16f7f00e4bdf786139a618cca3a229d61cfcaf2ef944 |
|
| MD5 | 27b9b7454084b6cb56885c8af0afac1c |
|
| BLAKE2b-256 | e23c0a906376767fd5455689225815ed3c89bd780ea1d513613a4b5c403ff67f |
File details
Details for the file orca-1.6-py2.py3-none-any.whl.
File metadata
- Download URL: orca-1.6-py2.py3-none-any.whl
- Upload date:
- Size: 244.6 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9958156ce4ce64801d63a0d74ed68d826fda2ed37d43915ce85f44bdc0e3c085 |
|
| MD5 | af86c2435bc665ec6ccd05bd849c06d1 |
|
| BLAKE2b-256 | 3ad631da710740f08554a8434148177f838087cd570cc60468e9b6c01e03fcc5 |
