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demo-uca-isilon-python

Demonstrating capabilities with the University of Colorado Anschutz (UCA) Isilon storage solution using Python.

https://github.com/wayscience/demo-uca-isilon-python

Science Score: 44.0%

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

  • ✓
    CITATION.cff file
    Found 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 (9.7%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Demonstrating capabilities with the University of Colorado Anschutz (UCA) Isilon storage solution using Python.

Basic Info
  • Host: GitHub
  • Owner: WayScience
  • License: bsd-3-clause
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 548 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 1
  • Open Issues: 5
  • Releases: 0
Created about 1 year ago · Last pushed 8 months ago
Metadata Files
Readme License Code of conduct Citation

README.md

University of Colorado Anschutz Isilon with Python Demonstration

This repository demonstrates using the University of Colorado Anschutz Isilon storage solution with Python. We seek to understand how this works and how it performs more generally.

Our approach here focuses on mounting the Isilon path to a local directory on a machine, then performing work using that mounted directory.

Development

  1. Install uv.
  2. Install just.
  3. Install package locally (e.g. uv pip install -e ".").
  4. Run various other tasks using just (e.g. just run-isilon-demo)

Tasks

Just tasks may be run to help generate results without needing to run individual files or perform additional discovery within this project. You can show all available tasks with just (which lists all tasks).

Examples:

bash just run-isilon-demo

Isilon notes

  • Isilon requires you to have access through the UCA VPN or local campus network.
  • Isilon may be mounted on MacOS using mount_smbfs.
    • Using a mount path without a username or password specified will attempt to mount the directory using your MacOS user which is currently logged in (which may differ from your UCA account credentials).
  • Isilon may be mounted on Linux using mount -t cifs.

Owner

  • Name: The Way Lab
  • Login: WayScience
  • Kind: organization
  • Location: United States of America

The Way Lab at CU Anschutz

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
---
cff-version: 1.2.0
title: demo-uca-isilon-python
message: >-
  If you use this software, please cite it using the
  metadata from this file.s
type: software
authors:
  - given-names: Dave
    family-names: Bunten
    orcid: 'https://orcid.org/0000-0001-6041-3665'
repository-code: 'https://github.com/WayScience/demo-uca-isilon-python'
abstract: >-
  Demonstrating capabilities with the University of Colorado Anschutz
  (UCA) Isilon storage solution using Python.
keywords:
  - python
  - storage
  - isilon
  - demonstration
license: BSD-3-Clause
references:
  - title: >-
      Plate 2 (Cell Painting images from Plate 2 for NF1_cellpainting_data project)
    type: data
    url: https://figshare.com/articles/dataset/Plate_2/22233700
    notes: >-
      Image data for related NF1_cellpainting_data parquet sqlite.
    authors:
    - family-names: Tomkinson
      given-names: Jenna
    - family-names: Mattson-Hoss
      given-names: Michelle
    - family-names: Sarnoff
      given-names: Herb
    - family-names: Way
      given-names: Gregory
    date-published: "2023-04-12"
    identifiers:
    - type: doi
      value: 10.6084/m9.figshare.22233700.v4

GitHub Events

Total
  • Issues event: 7
  • Issue comment event: 7
  • Push event: 4
  • Pull request review comment event: 14
  • Pull request review event: 16
  • Pull request event: 6
  • Create event: 2
Last Year
  • Issues event: 7
  • Issue comment event: 7
  • Push event: 4
  • Pull request review comment event: 14
  • Pull request review event: 16
  • Pull request event: 6
  • Create event: 2

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 6
  • Total pull requests: 4
  • Average time to close issues: 4 days
  • Average time to close pull requests: 5 days
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 2.0
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 6
  • Pull requests: 4
  • Average time to close issues: 4 days
  • Average time to close pull requests: 5 days
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 2.0
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • d33bs (6)
Pull Request Authors
  • d33bs (4)
Top Labels
Issue Labels
enhancement (1)
Pull Request Labels

Dependencies

pyproject.toml pypi
  • jupyterlab >=4.3.4
  • matplotlib >=3.10
  • papermill >=2.6
  • requests >=2.32.3
  • scikit-image >=0.25