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-0.37.tar.gz (93.4 kB view details)

Uploaded Source

Built Distribution

mig_meow-0.37-py3-none-any.whl (113.7 kB view details)

Uploaded Python 3

File details

Details for the file mig_meow-0.37.tar.gz.

File metadata

  • Download URL: mig_meow-0.37.tar.gz
  • Upload date:
  • Size: 93.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.48.2 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.9

File hashes

Hashes for mig_meow-0.37.tar.gz
Algorithm Hash digest
SHA256 551e7e1dfe34f5732fdc5bcf5d7d96bc9fac16d1f27c10f999afa28126dfe3b4
MD5 68016273368e0f23eca1767edf4ddeb6
BLAKE2b-256 cfe2b9d9d566919b4a6120dff54aa736cda7eeb103ce4132f44370481d7883f0

See more details on using hashes here.

File details

Details for the file mig_meow-0.37-py3-none-any.whl.

File metadata

  • Download URL: mig_meow-0.37-py3-none-any.whl
  • Upload date:
  • Size: 113.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.48.2 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.9

File hashes

Hashes for mig_meow-0.37-py3-none-any.whl
Algorithm Hash digest
SHA256 dd7fdf5f783981356434f8d00287f469717cd0b1fb33ea298760df12968cd5b6
MD5 553c3114d13ef7d147cd2b408f3412a6
BLAKE2b-256 28079a0aba63db1fbf219348238f965f753b063362cccd6a6e1f6b8bb15be3a7

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