https://github.com/pycroscopy/pycroscopy

Scientific analysis of nanoscale materials imaging data

https://github.com/pycroscopy/pycroscopy

Science Score: 46.0%

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
    Links to: arxiv.org, zenodo.org
  • Committers with academic emails
    13 of 33 committers (39.4%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.4%) to scientific vocabulary

Keywords

afm atom atomic-force-microscopy electron-microscopy fft imaging infrared machine-learning materials-science microscopy raman scanning scanning-probe-microscopy scanning-tunnelling-microscopy signal-processing spectroscopy statistics stem stm visualization

Keywords from Contributors

version
Last synced: 5 months ago · JSON representation

Repository

Scientific analysis of nanoscale materials imaging data

Basic Info
Statistics
  • Stars: 269
  • Watchers: 30
  • Forks: 74
  • Open Issues: 50
  • Releases: 36
Topics
afm atom atomic-force-microscopy electron-microscopy fft imaging infrared machine-learning materials-science microscopy raman scanning scanning-probe-microscopy scanning-tunnelling-microscopy signal-processing spectroscopy statistics stem stm visualization
Created over 9 years ago · Last pushed 6 months ago
Metadata Files
Readme License

README.md

pycroscopy

Downloads GitHub Actions PyPI Coverage Conda Forge License DOI

pycroscopy is a Python package for generic (domain-agnostic) microscopy data analysis. More specialized or domain-specific analysis routines are contained within some of the other packages within the pycroscopy ecosystem.

Please visit our homepage for more information and installation instructions.

If you use pycroscopy for research, we would appreciate if you could cite our Arxiv paper titled "USID and Pycroscopy - Open frameworks for storing and analyzing spectroscopic and imaging data".

Examples:

  1. Intro to pycroscopy - Google Colab

  2. Image inpainting - Google Colab

  3. Denoising with Autoencoders - Google Colab

More examples in the jupyter_notebooks folder.

List of Workshops Held

2024

2023

2022

2021

2020

2019

2018

Owner

  • Name: pycroscopy
  • Login: pycroscopy
  • Kind: organization
  • Email: pycroscopy@gmail.com

GitHub Events

Total
  • Issues event: 1
  • Watch event: 12
  • Push event: 13
  • Pull request event: 5
  • Fork event: 3
  • Create event: 1
Last Year
  • Issues event: 1
  • Watch event: 12
  • Push event: 13
  • Pull request event: 5
  • Fork event: 3
  • Create event: 1

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 3,572
  • Total Committers: 33
  • Avg Commits per committer: 108.242
  • Development Distribution Score (DDS): 0.446
Past Year
  • Commits: 17
  • Committers: 3
  • Avg Commits per committer: 5.667
  • Development Distribution Score (DDS): 0.647
Top Committers
Name Email Commits
syz s****s@o****v 1,980
Chris Smith c****5@u****u 998
ramav87 r****7@g****m 146
syz s****z@o****v 114
Rama Vasudevan v****k@o****v 43
nlaanait n****t@g****m 33
Maxim Ziatdinov z****x@g****m 27
Raj r****i@u****u 26
Mani v****i@g****m 25
Carlo c****i 22
str-eat d****e@o****m 18
Gerd Duscher 5****r 18
liambcollins@gmail.com C****t 15
Unknown a****t@g****m 13
Unknown o****k@g****m 12
Jessica Kong j****g@g****m 12
Enrique A. Lopez-Guerra e****z@g****u 12
Patrik Marschalik m****k@f****g 11
Rama Vasudevan r****v@o****v 8
Liambcollins l****s@g****m 8
Utkarshp1161 u****1@g****m 8
ealopez e****z@g****u 7
kamyar i****r@g****m 2
Streater d****r@n****m 2
Tommaso Costanzo c****t@c****u 2
root k****j@b****g 2
unknown A****r@M****V 2
zhangxinqiao314 1****4 1
Kevin Tee a****t@p****m 1
Magnus Nord M****d@g****k 1
and 3 more...

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 45
  • Total pull requests: 68
  • Average time to close issues: 5 months
  • Average time to close pull requests: 29 days
  • Total issue authors: 22
  • Total pull request authors: 18
  • Average comments per issue: 2.62
  • Average comments per pull request: 0.35
  • Merged pull requests: 63
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: about 2 hours
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • ramav87 (14)
  • ssomnath (9)
  • ziatdinovmax (2)
  • sulaymandesai (2)
  • slps9061008 (1)
  • nccreang (1)
  • zhangxinqiao314 (1)
  • dxm447 (1)
  • stefanv (1)
  • DancingQuanta (1)
  • ayfliu (1)
  • luv2python (1)
  • rajgiriUW (1)
  • darssita2017 (1)
  • alex-treebeard (1)
Pull Request Authors
  • ramav87 (17)
  • ssomnath (16)
  • gduscher (8)
  • utkarshp1161 (6)
  • kongjy (4)
  • saimani5 (4)
  • ziatdinovmax (4)
  • rajgiriUW (3)
  • TommasoCostanzo (2)
  • Kamyar-V2 (2)
  • Liambcollins (2)
  • kevinsmia1939 (1)
  • donpatrice (1)
  • str-eat (1)
  • ajinkya-kulkarni (1)
Top Labels
Issue Labels
enhancement (5) help wanted (3) bug (3) question (2) good first issue (1)
Pull Request Labels
enhancement (2) bug (1)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 621 last-month
  • Total dependent packages: 2
    (may contain duplicates)
  • Total dependent repositories: 1
    (may contain duplicates)
  • Total versions: 98
  • Total maintainers: 2
pypi.org: pycroscopy

Python library for scientific analysis of microscopy data

  • Versions: 87
  • Dependent Packages: 2
  • Dependent Repositories: 1
  • Downloads: 621 Last month
Rankings
Dependent packages count: 3.2%
Stargazers count: 4.2%
Forks count: 5.2%
Average: 9.4%
Downloads: 12.8%
Dependent repos count: 21.6%
Maintainers (2)
Last synced: 6 months ago
conda-forge.org: pycroscopy

pycroscopy is a python package for analysis of nanoscale imaging data

  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Forks count: 21.4%
Stargazers count: 24.3%
Average: 32.7%
Dependent repos count: 34.0%
Dependent packages count: 51.2%
Last synced: 6 months ago

Dependencies

docs/requirements.txt pypi
  • numpydoc *
.github/workflows/actions.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • codecov/codecov-action v3 composite
  • crazy-max/ghaction-github-pages v2 composite
setup.py pypi