https://github.com/bayer-group/paquo

PAthological QUpath Obsession - QuPath and Python conversations

https://github.com/bayer-group/paquo

Science Score: 13.0%

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
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (15.4%) to scientific vocabulary

Keywords

digital-pathology python qupath
Last synced: 6 months ago · JSON representation

Repository

PAthological QUpath Obsession - QuPath and Python conversations

Basic Info
  • Host: GitHub
  • Owner: Bayer-Group
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 836 KB
Statistics
  • Stars: 121
  • Watchers: 9
  • Forks: 19
  • Open Issues: 32
  • Releases: 4
Topics
digital-pathology python qupath
Created over 5 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License Codeowners

README.md

PAQUO: PAthological QUpath Obsession

PyPI Version Conda (channel only) Read the Docs paquo ci Codecov PyPI - Python Version GitHub issues

Welcome to paquo :wave:, a library for interacting with QuPath from Python.

paquo's goal is to provide a pythonic interface to important features of QuPath, and to make creating and working with QuPath projects intuitive for Python programmers.

We strive to make your lives as easy as possible: If paquo is not pythonic, unintuitive, slow or if its documentation is confusing, it's a bug in paquo. Feel free to report any issues or feature requests in the issue tracker!

Development happens on GitHub :octocat:

Documentation

You can find paquo's documentation at paquo.readthedocs.io :heart:

Installation

paquo's stable releases can be installed via pip:

bash pip install paquo

or via conda:

bash conda install -c conda-forge paquo

Getting QuPath

After installing, paquo requires a QuPath installation to run. To get QuPath follow the installation instructions. If you choose the default installation paths paquo should autodetect your QuPath.

Or you can run the following command to download a specific version of QuPath to a location on your machine. Follow the printed instructions to configure paquo to use that version. Currently, paquo supports every version of QuPath from 0.2.0 to the most recent. We're testing against the newest minor version for all supported QuPath releases. (We even support older 0.2.0-mX versions but no guarantees).

```shell

paquo get_qupath --install-path "/some/path/on/your/machine" 0.6.0

downloading: https://github.com/qupath/qupath/releases/download/v0.6.0/QuPath-0.6.0-Linux.tar.xz

progress ................... OK

extracting: [...]/QuPath-0.6.0-Linux.tar.xz

available at: /some/path/on/your/machine/QuPath-0.6.0

use via environment variable:

$ export PAQUOQUPATHDIR=/some/path/on/your/machine/QuPath-0.6.0

use via .paquo.toml config file:

qupath_dir="/some/path/on/your/machine/QuPath-0.6.0"

/some/path/on/your/machine/QuPath-0.6.0 ```

Development Installation

  1. Install conda and git
  2. Clone paquo git clone https://github.com/bayer-science-for-a-better-life/paquo.git
  3. Run conda env create -f environment.devenv.yml
  4. Activate the environment conda activate paquo

Note that in this environment paquo is already installed in development mode, so go ahead and hack.

Contributing Guidelines

  • Please follow pep-8 conventions but:
    • We allow 120 character long lines (try anyway to keep them short)
  • Please use numpy docstrings.
  • When contributing code, please try to use Pull Requests.
  • tests go hand in hand with modules on tests packages at the same level. We use pytest.

You can set up your IDE to help you to adhere to these guidelines.
(Santi is happy to help you to set up pycharm in 5 minutes)

Acknowledgements

Build with love by Andreas Poehlmann and Santi Villalba from the Machine Learning Research group at Bayer. In collaboration with the Pathology Lab 2 and the Mechanistic and Toxicologic Pathology group.

paquo: copyright 2020 Bayer AG, licensed under GPL-3.0

Owner

  • Name: Bayer Open Source
  • Login: Bayer-Group
  • Kind: organization

Science for a better life

GitHub Events

Total
  • Create event: 2
  • Release event: 2
  • Issues event: 5
  • Watch event: 11
  • Issue comment event: 6
  • Push event: 3
  • Pull request review event: 2
  • Pull request review comment event: 1
  • Pull request event: 7
  • Fork event: 3
Last Year
  • Create event: 2
  • Release event: 2
  • Issues event: 5
  • Watch event: 11
  • Issue comment event: 6
  • Push event: 3
  • Pull request review event: 2
  • Pull request review comment event: 1
  • Pull request event: 7
  • Fork event: 3

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 599
  • Total Committers: 6
  • Avg Commits per committer: 99.833
  • Development Distribution Score (DDS): 0.033
Past Year
  • Commits: 14
  • Committers: 2
  • Avg Commits per committer: 7.0
  • Development Distribution Score (DDS): 0.071
Top Committers
Name Email Commits
Andreas Poehlmann a****s@p****o 579
Santi Villalba s****l@g****m 13
Alberto Bailoni b****o@g****m 3
rtubelleza r****a@g****m 2
Nicholas A. Del Grosso d****k@g****m 1
Helmut Hoffer von Ankershoffen h****t@a****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 93
  • Total pull requests: 26
  • Average time to close issues: 28 days
  • Average time to close pull requests: 6 days
  • Total issue authors: 32
  • Total pull request authors: 6
  • Average comments per issue: 2.96
  • Average comments per pull request: 0.65
  • Merged pull requests: 25
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 6
  • Pull requests: 3
  • Average time to close issues: 20 days
  • Average time to close pull requests: 8 days
  • Issue authors: 5
  • Pull request authors: 2
  • Average comments per issue: 3.17
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • swaradgat19 (3)
  • carlocastoldi (2)
  • delta2golf (2)
  • tdyoshida (1)
  • Mattia1311 (1)
  • ap-- (1)
  • xalexalex (1)
  • SPerrott22 (1)
  • papapali (1)
  • carrascomj (1)
  • alekfrohlich (1)
  • EtashBhat (1)
Pull Request Authors
  • ap-- (10)
  • helmut-hoffer-von-ankershoffen (2)
  • rtubelleza (1)
Top Labels
Issue Labels
bug (5) awaiting reply 📩 (3) question (2) help wanted (1)
Pull Request Labels

Dependencies

.github/workflows/run_pytests.yaml actions
  • actions/cache v3 composite
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • codecov/codecov-action v3 composite
  • pypa/gh-action-pypi-publish master composite
extras/osx_app_shim/setup.py pypi
pyproject.toml pypi