Skip to main content

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


Download files

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

Source Distribution

adage-0.5.6.tar.gz (8.8 kB view details)

Uploaded Source

File details

Details for the file adage-0.5.6.tar.gz.

File metadata

  • Download URL: adage-0.5.6.tar.gz
  • Upload date:
  • Size: 8.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for adage-0.5.6.tar.gz
Algorithm Hash digest
SHA256 3fbc0eebd665fdfd20a288bb375d8ad092771ae667e0a4e912bc3f8a89699272
MD5 93ef8819a8cee7d5fef714e557bbbe53
BLAKE2b-256 b96edfd7162d4f8b6e80cac988bb802927c59b46a2eba6e6886d51ccb68af44a

See more details on using hashes here.

Supported by

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