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-0.23.tar.gz (71.0 kB view details)

Uploaded Source

Built Distribution

mig_meow-0.23-py3-none-any.whl (102.8 kB view details)

Uploaded Python 3

File details

Details for the file mig_meow-0.23.tar.gz.

File metadata

  • Download URL: mig_meow-0.23.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-0.23.tar.gz
Algorithm Hash digest
SHA256 bfdab694349aa4b2038747557c24d81c5c42855ddf5e31bfca45f6491b991aeb
MD5 84f92b06171e7b6809f2af8da382cfa7
BLAKE2b-256 ec3384387a463688b9ca1c3723789cc771263803b18cef5dc77129908eedfe84

See more details on using hashes here.

File details

Details for the file mig_meow-0.23-py3-none-any.whl.

File metadata

  • Download URL: mig_meow-0.23-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-0.23-py3-none-any.whl
Algorithm Hash digest
SHA256 d605341d1126de24b4ae9c972ceabe1c90ecdf9c4b99c0cb9fd8d73f4528910b
MD5 33712904014745afcdae55df2d7336f5
BLAKE2b-256 1ea90bc14266920cb5208d4fb446776d8956008b5e62014de03edc78d1016eac

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