Skip to main content

MiG based manager for event oriented workflows

Project description

# mig_meow MEOW is a Manager for Event Oriented Workflows.

## Introduction mig_meow provides a way for MEOW Workflows to be defined using Patterns and Recipes. These can be sent to the MiG (https://sourceforge.net/projects/migrid/), which is used for actual job processing and data storage.

Currently this package does very little on its own.

## Installation mig_meow can be installed from pypi using pip using: ` pip install mig_meow `

## Jupyter mig_meow is designed primarily to be used within Jupyter notebooks, either as a standard notebook or within Jupyter Lab. If you are running it within Jupyter Lab it will require the labextensions:

## Examples Some example patterns and recipes are included in the ‘examples’ directory. These can be worked through in the ‘workflow_examples.ipynb’ notebook.

## Testing Automatic testing is available though it will require a numpy install to work correctly.

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

mig_meow-0.22.tar.gz (71.0 kB view details)

Uploaded Source

Built Distribution

mig_meow-0.22-py3-none-any.whl (102.8 kB view details)

Uploaded Python 3

File details

Details for the file mig_meow-0.22.tar.gz.

File metadata

  • Download URL: mig_meow-0.22.tar.gz
  • Upload date:
  • Size: 71.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.9

File hashes

Hashes for mig_meow-0.22.tar.gz
Algorithm Hash digest
SHA256 d3ca69fb0aded14fd0b0376ade177d18037bf0974e0177108f6009290c2f6c29
MD5 7715f3b0e64b6e81f0b03d40417f2af4
BLAKE2b-256 3ae9cc3b6d49267f3cf203c10a71d760e76c5e6d1ad1290dee2b45ce382ed013

See more details on using hashes here.

File details

Details for the file mig_meow-0.22-py3-none-any.whl.

File metadata

  • Download URL: mig_meow-0.22-py3-none-any.whl
  • Upload date:
  • Size: 102.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.9

File hashes

Hashes for mig_meow-0.22-py3-none-any.whl
Algorithm Hash digest
SHA256 5d0d9975c3e92c1d4c07b569d1b9d588ff3bc8c87edeb96adc7916a3d7e95833
MD5 307498646a5f2d369850dc2239597885
BLAKE2b-256 8c0f9bf6d22eb3bc3e558022a50c2a00fcb5b47d0e78bac9b15921d666b729f5

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