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Open Source Science

https://github.com/afm-spm/jupyterlite-topostats

Run TopoStats Notebooks directly in your browser.

https://github.com/afm-spm/jupyterlite-topostats

Science Score: 10.0%

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
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 1 committers (100.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.2%) to scientific vocabulary

Keywords

afm imaging jupyter jupyter-notebook jupyterlite notebook
Last synced: 5 months ago · JSON representation

Repository

Run TopoStats Notebooks directly in your browser.

Basic Info
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Topics
afm imaging jupyter jupyter-notebook jupyterlite notebook
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme

README.md

JupyterLite TopoStats

lite-badge

This repository contains a series of Notebooks for processing and summarising images from Atomic Force Microscopy (AFM) using the Python package TopoStats (Git Repository : AFM-SPM/TopoStats).

The Notebooks are deployed using JupyterLite which uses the Pyodide implementation of Python which is written in WebAssembly. This means the Notebooks run completely in your browser, there is no need to install Jupyter on your computer.

You will find that the initial loading takes a little while as the necessary Python packages, TopoStats and all its dependencies, are downloaded and installed. Subsequent visits should be quicker though as these are cached (if you clear your cache they will need downloading again).

Requirements

JupyterLite is being tested against modern web browsers:

  • Firefox 90+
  • Chromium 89+

✨ Try it in your browser ✨

➡️ https://afm-spm.github.io/jupyterlite-topostats

The Notebooks are commented and should provide a walk-through of the various steps involved in loading and filtering raw images and then detecting grains, tracing them and calculating statistics. There are also example Notebooks that show how to plot both the image scans at various stages and the resulting statistics.

Contributing

For more info, keep an eye on the JupyterLite documentation:

Owner

  • Name: Software for AFM & SPM data analysis
  • Login: AFM-SPM
  • Kind: organization

A community hub for Atomic Force Microscopy and Scanning Probe Microscopy analysis code

GitHub Events

Total
Last Year

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 12
  • Total Committers: 1
  • Avg Commits per committer: 12.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 12
  • Committers: 1
  • Avg Commits per committer: 12.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Neil Shephard n****d@s****k 12
Committer Domains (Top 20 + Academic)
sheffield.ac.uk: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 2
  • Total pull requests: 12
  • Average time to close issues: about 18 hours
  • Average time to close pull requests: 6 minutes
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 12
  • Bot issues: 0
  • Bot pull requests: 0
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
View more stats
Top Authors
Issue Authors
  • ns-rse (2)
Pull Request Authors
  • ns-rse (9)
Top Labels
Issue Labels
notebooks (2)
Pull Request Labels
notebooks (1)

Dependencies

.github/workflows/deploy.yml actions
  • actions/checkout v3 composite
  • actions/deploy-pages v1 composite
  • actions/setup-python v4 composite
  • actions/upload-pages-artifact v1 composite
requirements.txt pypi
  • bqplot *
  • ipycanvas >=0.9.1
  • ipyevents >=2.0.1
  • ipyleaflet *
  • ipympl >=0.8.2
  • ipywidgets >=8.1.1,<9
  • jupyterlab *
  • jupyterlab-fasta >=3,<4
  • jupyterlab-geojson >=3,<4
  • jupyterlab-language-pack-fr-FR *
  • jupyterlab-language-pack-zh-CN *
  • jupyterlab-night *
  • jupyterlab-tour *
  • jupyterlab_miami_nights *
  • jupyterlite-core ==0.1.3
  • jupyterlite-javascript-kernel ==0.1.3
  • jupyterlite-p5-kernel ==0.1.0
  • jupyterlite-pyodide-kernel ==0.1.3
  • jupyterlite-xeus-lua ==0.3.1
  • jupyterlite-xeus-sqlite ==0.2.1
  • plotly >=5,<6