Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 9 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.1%) to scientific vocabulary
Keywords
Repository
PIV Uncertainty Quantification
Basic Info
- Host: GitHub
- Owner: lento234
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://pivuq.readthedocs.io/
- Size: 17.5 MB
Statistics
- Stars: 7
- Watchers: 3
- Forks: 3
- Open Issues: 7
- Releases: 10
Topics
Metadata Files
README.md
PIVUQ: PIV Uncertainty Quantification
Description
This package contains python implementations of uncertainty quantification (UQ) for Particle Image Velocimetry (PIV). Primary aim is to implement UQ algorithms for PIV techniques. Future goals include possible extensions to other domains including but not limited to optical flow and BOS.
List of approachs:
pivuq.diparity.ilk: Iterative Lucas-Kanade based disparity estimation. [scikit-image]pivuq.disparity.sws: Python implementation of Sciacchitano, A., Wieneke, B., & Scarano, F. (2013). PIV uncertainty quantification by image matching. Measurement Science and Technology, 24 (4). https://doi.org/10.1088/0957-0233/24/4/045302. [piv.de]
Installation
Install using pip
bash
pip install pivuq
Development mode
Initialize conda environment
bash
conda env create -f environment.yml
Install packages using poetry:
bash
poetry install
How to cite
Work in progress version: https://doi.org/10.5281/zenodo.6458153
In future, please cite the following paper:
Manickathan et al. (2022). PIVUQ: Uncertainty Quantification Toolkit for Quantitative Flow Visualization. in prep.
Owner
- Name: Lento Manickathan
- Login: lento234
- Kind: user
- Location: Zürich
- Website: https://lento234.ch/
- Twitter: lento234
- Repositories: 18
- Profile: https://github.com/lento234
Software Engineer // Fluid dynamics researcher // Aerospace engineer.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Manickathan" given-names: "Lento" orcid: "https://orcid.org/0000-0002-0425-4679" title: "PIVUQ: Uncertainty Quantification Toolkit for Quantitative Flow Visualization" version: 0.3.1 doi: 10.5281/zenodo.6482947 date-released: 2022-04-25 url: "https://github.com/lento234/pivuq"
GitHub Events
Total
- Watch event: 2
- Push event: 4
Last Year
- Watch event: 2
- Push event: 4
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 23
- Total pull requests: 30
- Average time to close issues: 5 days
- Average time to close pull requests: 5 days
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 0.26
- Average comments per pull request: 0.0
- Merged pull requests: 29
- Bot issues: 0
- Bot pull requests: 10
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
Top Authors
Issue Authors
- lento234 (22)
- alexlib (1)
Pull Request Authors
- lento234 (20)
- pre-commit-ci[bot] (10)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 39 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 10
- Total maintainers: 1
pypi.org: pivuq
A library for PIV Uncertainty Quantification
- Homepage: https://github.com/lento234/pivuq
- Documentation: https://pivuq.readthedocs.io
- License: MIT
-
Latest release: 0.4.1
published over 3 years ago
Rankings
Maintainers (1)
Dependencies
- Sphinx *
- ipykernel *
- jupyterlab *
- matplotlib *
- nbsphinx *
- pandoc *
- sphinx_copybutton *
- sphinx_rtd_theme *
- atomicwrites 1.4.0 develop
- attrs 21.4.0 develop
- cfgv 3.3.1 develop
- colorama 0.4.4 develop
- distlib 0.3.4 develop
- filelock 3.6.0 develop
- identify 2.4.12 develop
- iniconfig 1.1.1 develop
- nodeenv 1.6.0 develop
- platformdirs 2.5.2 develop
- pluggy 1.0.0 develop
- pre-commit 2.18.1 develop
- py 1.11.0 develop
- pytest 7.1.2 develop
- pyyaml 6.0 develop
- toml 0.10.2 develop
- virtualenv 20.14.1 develop
- cycler 0.11.0
- fonttools 4.33.3
- imageio 2.18.0
- kiwisolver 1.4.2
- llvmlite 0.38.0
- matplotlib 3.5.1
- networkx 2.8
- numba 0.55.1
- numpy 1.21.6
- packaging 21.3
- pillow 9.1.0
- pyparsing 3.0.8
- python-dateutil 2.8.2
- pywavelets 1.3.0
- scikit-image 0.19.2
- scipy 1.8.0
- setuptools-scm 6.4.2
- six 1.16.0
- tifffile 2022.4.26
- tomli 2.0.1
- pre-commit ^2.18.1 develop
- pytest ^7.1.1 develop
- matplotlib ~3.5.1
- numba ^0.55.1
- numpy ~1.21.0
- python ~3.9
- scikit-image ^0.19.2
- scipy ^1.8.0
- actions/checkout v3 composite
- actions/setup-python v4 composite
- pypa/gh-action-pypi-publish release/v1 composite
- actions/cache v2 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- snok/install-poetry v1 composite
- ipython *
- poetry *