https://github.com/dlenski/top500

Scrape+plot TOP500 data for Wikipedia graphs
https://github.com/dlenski/top500

data-visualization matplotlib top500 wikipedia

Last synced: about 4 hours ago
JSON representation

Scrape+plot TOP500 data for Wikipedia graphs

• Host: GitHub
• URL: https://github.com/dlenski/top500
• Owner: dlenski
• License: gpl-3.0
• Created: 2015-07-24T04:47:57.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2023-08-21T07:33:44.000Z (about 1 year ago)
• Last Synced: 2024-04-03T08:10:17.130Z (8 months ago)
• Topics: data-visualization, matplotlib, top500, wikipedia
• Language: Python
• Size: 4.69 MB
• Stars: 10
• Watchers: 5
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# What is this?

These are the Python scripts that I've been using to create these two area charts of [TOP500](https://wikipedia.org/wiki/TOP500) supercomputers for use on Wikipedia:

https://commons.wikimedia.org/wiki/File:Processor_families_in_TOP500_supercomputers.svg

![procfam](https://upload.wikimedia.org/wikipedia/commons/e/ef/Processor_families_in_TOP500_supercomputers.svg)

https://commons.wikimedia.org/wiki/File:Countries_with_TOP500_supercomputers.svg

![countries](https://upload.wikimedia.org/wikipedia/commons/a/a6/Countries_with_TOP500_supercomputers.svg)

# Requirements

Requires Python 3.5+ and a valid user account on top500.org. First, create a file called `top500.ini` in

the source directory containing your username and password for the site:

```

[DEFAULT]

username = MyUsername

password = "MyPassword123!"

```

# Running

You can skip `top500.py` if you want to use the cached/already-downloaded biannual lists

in `TOP500_history.csv`:

```

$ pip3 install -r requirements.txt

$ ./get-country-lists.sh    # Fetch country name mapping (country-{en,fr,es}.csv)

$ ./top500.py               # Download and combine latest biannual spreadsheets from top500.org

$ ./top500_plot.py          # Create PNG- and SVG-format plots using TOP500_history.csv

```

# License

GPLv3 or later