Package Health Score

78 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

Popularity

Small

GitHub Stars: 38
Forks: 14
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package spatialdata-plot, we found that it has been starred 38 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 26, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-3-Clause

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 63
Open PR: 8
Last Release: 27 days ago
Last Commit: 5 days ago

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

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

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 20
Funding: No

With more than 10 contributors for the spatialdata-plot repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.10

Age: 2 years
Latest Release: 27 days ago
Dependencies: 4 Direct
Versions: 18
Maintainers: 0
Wheels: OS Independent

Readme

SpatialData banner

spatialdata-plot: rich static plotting from SpatialData objects

The spatialdata-plot package extends spatialdata with a declarative plotting API that enables to quickly visualize spatialdata objects and their respective elements (i.e. images, labels, points and shapes).

SpatialData’s plotting capabilities allow to quickly visualise all contained modalities. The user can specify which elements should be rendered (images, labels, points, shapes) and specify certain parameters for each layer, such as for example the intent to color shapes by a gene’s expression profile or which color to use for which image channel. When the plot is then eventually displayed, all transformations, alignments and coordinate systems are internally processed to form the final visualisation. In concordance with the general SpatialData philosophy, all modalities of the major spatial technologies are supported out of the box.

Getting started

For more information on the spatialdata-plot library, please refer to the documentation. In particular, the

API documentation.
Example notebooks (section "Visiualizations")

Installation

You need to have Python 3.10 or newer installed on your system. If you don't have Python installed, we recommend installing Mambaforge.

There are several alternative options to install spatialdata-plot:

Install the latest development version:

pip install git+https://github.com/scverse/spatialdata-plot.git@main

Contact

For questions and help requests, you can reach out in the scverse discourse. If you found a bug, please use the issue tracker.

Citation

Marconato, L., Palla, G., Yamauchi, K.A. et al. SpatialData: an open and universal data framework for spatial omics. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02212-x

spatialdata-plot dependencies

matplotlib matplotlib-scalebar scanpy scikit-learn

FAQs

What is spatialdata-plot?

Static plotting for spatial data. Visit Snyk Advisor to see a full health score report for spatialdata-plot, including popularity, security, maintenance & community analysis.

Is spatialdata-plot popular?

The python package spatialdata-plot receives a total of 4,120 weekly downloads. As such, spatialdata-plot popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is spatialdata-plot well maintained?

We found that spatialdata-plot demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is spatialdata-plot safe to use?

The python package spatialdata-plot 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 23 December-2024, at 12:51 (UTC).

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spatialdata-plot

Static plotting for spatial data. For more information about how to use this package see README

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Package Health Score

Popularity

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Security

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Maintenance

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Community

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Package

Readme

spatialdata-plot: rich static plotting from SpatialData objects

Getting started

Installation

Contact

Citation

spatialdata-plot dependencies

FAQs

What is spatialdata-plot?

Is spatialdata-plot popular?

Is spatialdata-plot well maintained?

Is spatialdata-plot safe to use?

Build a secure application checklist

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Scan your app for vulnerabilities

Fix identified vulnerabilities

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Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Readme

spatialdata-plot: rich static plotting from SpatialData objects

Getting started

Installation

Contact

Citation

spatialdata-plot dependencies

FAQs

What is spatialdata-plot?

Is spatialdata-plot popular?

Is spatialdata-plot well maintained?

Is spatialdata-plot safe to use?

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Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

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Config

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