https://github.com/alan-turing-institute/azure_usage_v1

Web app for the Turing research community to analyse Azure usage at a subscription level.

https://github.com/alan-turing-institute/azure_usage_v1

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.9%) to scientific vocabulary

Keywords

hut23 hut23-rcp
Last synced: 11 months ago · JSON representation

Repository

Web app for the Turing research community to analyse Azure usage at a subscription level.

Basic Info
  • Host: GitHub
  • Owner: alan-turing-institute
  • License: mit
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 493 KB
Statistics
  • Stars: 3
  • Watchers: 16
  • Forks: 0
  • Open Issues: 7
  • Releases: 1
Topics
hut23 hut23-rcp
Created over 6 years ago · Last pushed almost 3 years ago
Metadata Files
Readme License

README.md

Azure usage v1

DOI License: MIT Build Status

Summary

Webapp for the Turing research community to analyse Azure usage at the subscription level.

Created and designed by Tomas Lazauskas.

Webapp is hosted on Azure (https://turingazureusage.azurewebsites.net), and in order to access it, one needs to login with Turing credentials.

Disclaimer

I endeavour to make reasonable effort to keep the information up to date and correct. However, the web app is only for demonstration purposes only and make no warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability or availability with respect to the web app or the information.

Please keep in mind that the web app is still in development and it doesn’t yet have all the functionality that I would like it to have.

Installation

Instructions on how to create the infrastructure required for the webapp can be found here.

Project contributors

The Alan Turing REG team

Getting help

Any feedback is very welcome! If you found a bug or need support, please submit an issue here.

How to contribute

Contributions are welcome! If you are willing to propose new features or have bug fixes to contribute, please submit a pull request here.

Owner

  • Name: The Alan Turing Institute
  • Login: alan-turing-institute
  • Kind: organization
  • Email: info@turing.ac.uk

The UK's national institute for data science and artificial intelligence.

GitHub Events

Total
Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 19
  • Total Committers: 1
  • Avg Commits per committer: 19.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Tomas Lazauskas 1****z 19

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 5
  • Total pull requests: 24
  • Average time to close issues: about 10 hours
  • Average time to close pull requests: about 1 month
  • Total issue authors: 3
  • Total pull request authors: 3
  • Average comments per issue: 0.4
  • Average comments per pull request: 0.21
  • Merged pull requests: 14
  • Bot issues: 0
  • Bot pull requests: 7
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • sgibson91 (2)
  • tomaslaz (2)
  • DavidBeavan (1)
Pull Request Authors
  • tomaslaz (15)
  • dependabot[bot] (7)
  • OscartGiles (2)
Top Labels
Issue Labels
Pull Request Labels
dependencies (7) bug (1) enhancement (1)

Dependencies

requirements.txt pypi
  • Jinja2 ==2.11.3
  • Pillow ==8.2.0
  • PyYAML ==5.4.1
  • black ==20.8b1
  • bokeh ==2.0.0
  • flake8 ==3.9.1
  • matplotlib ==3.4.1
  • numpy ==1.20.2
  • packaging ==20.9
  • pandas ==1.2.4
  • pytest ==6.2.3
  • python-dateutil ==2.8.1
  • six ==1.5.2
  • tornado ==6.1
Dockerfile docker
  • ubuntu latest build
azure_usage/tests/docker-compose.yml docker
  • azureusage/oauth2 latest
docker-compose/_local_docker-compose.yml docker
  • bitnami/oauth2-proxy latest
docker-compose/_prod_docker-compose.yml docker
  • azureusage/azure_usage latest
  • azureusage/nginx latest
  • azureusage/oauth2 latest
docker-compose/_test_docker-compose.yml docker
  • azureusage/azure_usage dev
  • azureusage/nginx dev
  • bitnami/oauth2-proxy latest
docker-compose/nginx/Dockerfile docker
  • nginx 1.19.2 build