running dynamic DAG workflows
Project description
Adage - A DAG Executor
This is a small experimental package to see how one could describe workflows that are not completely known at definition time.
Tasks are run asynchronously either via a multiprocessing pool or celery or IPython Parallel clusters
Read more at: https://github.com/lukasheinrich/adage
Project details
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
adage-0.7.1.tar.gz
(11.3 kB
view details)
File details
Details for the file adage-0.7.1.tar.gz
.
File metadata
- Download URL: adage-0.7.1.tar.gz
- Upload date:
- Size: 11.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 69a736e8b2b1ef9d56b542d38ac60bfb08242ff4c560047bb08224727857db04 |
|
MD5 | 802fe47a987abf7d0e0cd5ea71f0d8db |
|
BLAKE2b-256 | 8bf0ab4cd3b02d03ab7ff7a19a3077cb917f57913810cb793e88d58fd34b61f6 |