Data

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Experiments

Open Source Science

https://github.com/atlarge-research/opendc-demos

https://github.com/atlarge-research/opendc-demos

Science Score: 26.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (3.2%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: atlarge-research
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 57.3 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 12 months ago · Last pushed 12 months ago

https://github.com/atlarge-research/opendc-demos/blob/main/ 

This is a repository that holds demos for the OpenDC framework. 

Before running an demo, extract the OpenDCExperimentRunner.zip in the folder of the demo.
The demos available on the repo are created for OpenDC 2.4f which can be downloaded [here](https://github.com/atlarge-research/opendc/releases/tag/v2.4f).


The same demos can be found on the OpenDC [website](https://atlarge-research.github.io/opendc/docs/category/tutorials).

For documentation of OpenDC go [here](https://atlarge-research.github.io/opendc/docs/category/documentation)

Owner

  • Name: @Large Research
  • Login: atlarge-research
  • Kind: organization
  • Email: info@atlarge-research.com

Massivizing Computer Systems

GitHub Events

Total
  • Member event: 1
  • Push event: 4
  • Create event: 1
Last Year
  • Member event: 1
  • Push event: 4
  • Create event: 1

Dependencies

requirements.txt pypi
  • Pygments ==2.18.0
  • asttokens ==2.4.1
  • comm ==0.2.2
  • contourpy ==1.3.1
  • cramjam ==2.9.0
  • cycler ==0.12.1
  • debugpy ==1.8.8
  • decorator ==5.1.1
  • executing ==2.1.0
  • fastparquet ==2024.11.0
  • fonttools ==4.55.0
  • fsspec ==2024.10.0
  • ipykernel ==6.29.5
  • ipython ==8.29.0
  • jedi ==0.19.2
  • jupyter_client ==8.6.3
  • jupyter_core ==5.7.2
  • kiwisolver ==1.4.7
  • matplotlib ==3.9.2
  • matplotlib-inline ==0.1.7
  • nest-asyncio ==1.6.0
  • numpy ==2.1.3
  • packaging ==24.2
  • pandas ==2.2.3
  • parso ==0.8.4
  • pexpect ==4.9.0
  • pillow ==11.0.0
  • platformdirs ==4.3.6
  • prompt_toolkit ==3.0.48
  • psutil ==6.1.0
  • ptyprocess ==0.7.0
  • pure_eval ==0.2.3
  • pyarrow ==18.0.0
  • pyparsing ==3.2.0
  • python-dateutil ==2.9.0.post0
  • pytz ==2024.2
  • pyzmq ==26.2.0
  • six ==1.16.0
  • stack-data ==0.6.3
  • tornado ==6.4.1
  • traitlets ==5.14.3
  • tzdata ==2024.2
  • wcwidth ==0.2.13