multivariate-view

v0.1.3

RadVolViz-inspired multivariate volume visualizer using VTK For more information about how to use this package see README

Latest version published 1 month ago

PyPI

GitHub

Package Health Score

61 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Limited

Popularity

Limited

GitHub Stars: 5
Forks: 1
Contributors: 4

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package multivariate-view, we found that it has been starred 5 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 16, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Copyright 2024 Kitware Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 0
Open PR: 2
Last Release: 1 month ago
Last Commit: 3 months ago

Further analysis of the maintenance status of multivariate-view based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that multivariate-view demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 4
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.10

Age: 6 months
Latest Release: 1 month ago
Dependencies: 11 Direct
Versions: 4
Maintainers: 1
Wheels: OS Independent

Readme

MultivariateView

full

A multivariate/multimodal volume visualizer!

This RadVolViz-inspired prototype utilizes trame and VTK to render multi-channel volumetric datasets.

Install and Run

To install, first ensure you are in an environment using Python3.10 or newer, and then run the following command:

pip install multivariate-view

Next, run multivariate-view, or mv-view, to start the application. If no --data path is provided, it will automatically download and load the example dataset pictured above.

Development build

cd vue-components
npm i
npm run build
cd -
pip install -U pip
pip install -e .

Example Data

The example dataset pictured above is from the reconstruction of an X-ray fluorescence tomography of a mixed ionic-electronic conductor (MIEC) from the following article:

Ge, M., Huang, X., Yan, H. et al. Three-dimensional imaging of grain boundaries via quantitative fluorescence X-ray tomography analysis. Commun Mater 3, 37 (2022). https://doi.org/10.1038/s43246-022-00259-x

This example dataset is downloaded automatically and loaded if the application is started without providing a --data path. Utilizing the lens in MultivariateView produces visualizations of the following phases:

CGO Phase (ionic conductor)

cgo

CFO Phase (electronic conductor)

cfo

EP2 Phase (emergent phase)

ep2

Note: the EP1 phase from the paper is comprised of fewer voxels and is more difficult to visualize without data filters

Data Loading

Two of the easiest formats to use are HDF5 and NPZ. For both of these file types, each channel of the volume should have its own dataset at the top level, and each dataset must be identical in shape and datatype. There should be no other datasets present.

If the application is started with multivariate-view --data /path/to/data.h5, then all root level datasets will be loaded automatically and visualized.

multivariate-view dependencies

h5py numba pillow plotly requests scipy trame trame-plotly trame-vtk trame-vuetify vtk

FAQs

What is multivariate-view?

RadVolViz-inspired multivariate volume visualizer using VTK. Visit Snyk Advisor to see a full health score report for multivariate-view, including popularity, security, maintenance & community analysis.

Is multivariate-view popular?

We’re still processing downloads data for the python package multivariate-view. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is multivariate-view well maintained?

We found that multivariate-view demonstrated a healthy version release cadence and project activity. It has a community of 4 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is multivariate-view safe to use?

The python package multivariate-view was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 25 November-2024, at 20:32 (UTC).

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