Package Health Score

77 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Active

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Popularity

Limited

GitHub Stars: 110
Forks: 10
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package movement, we found that it has been starred 110 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 9, 2024
Direct Vulnerabilities: 0
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0
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0
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0
L
Indirect Vulnerabilities: 0
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0
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0
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0
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License Risk: 0
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0
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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: 91
Open PR: 9
Last Release: 13 days ago
Last Commit: 4 days ago

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

We found that movement 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 movement repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.10.0

Age: 5 years
Latest Release: 13 days ago
Dependencies: 8 Direct
Versions: 21
Maintainers: 0
Wheels: OS Independent

Readme

movement

A Python toolbox for analysing animal body movements across space and time.

Quick install

Create and activate a conda environment with movement installed:

conda create -n movement-env -c conda-forge movement
conda activate movement-env

> [!Note] > Read the documentation for more information, including full installation instructions and examples.

Overview

Deep learning methods for motion tracking have revolutionised a range of scientific disciplines, from neuroscience and biomechanics, to conservation and ethology. Tools such as DeepLabCut and SLEAP now allow researchers to track animal movements in videos with remarkable accuracy, without requiring physical markers. However, there is still a need for standardised, easy-to-use methods to process the tracks generated by these tools.

movement aims to provide a consistent, modular interface for analysing motion tracks, enabling steps such as data cleaning, visualisation, and motion quantification. We aim to support all popular animal tracking frameworks and file formats.

Find out more on our mission and scope statement and our roadmap.

> [!Warning] > 🏗️ The package is currently in early development and the interface is subject to change. Feel free to play around and provide feedback.

> [!Tip] > If you prefer analysing your data in R, we recommend checking out the > animovement toolbox, which is similar in scope. > We are working together with its developer > to gradually converge on common data standards and workflows.

Join the movement

Contributions to movement are absolutely encouraged, whether to fix a bug, develop a new feature, or improve the documentation. To help you get started, we have prepared a detailed contributing guide.

Chat with the team on Zulip.
Open an issue to report a bug or request a new feature.
Follow this Zulip topic to receive updates about upcoming Community Calls.

Citation

If you use movement in your work, please cite the following Zenodo DOI:

> Nikoloz Sirmpilatze, Chang Huan Lo, Sofía Miñano, Brandon D. Peri, Dhruv Sharma, Laura Porta, Iván Varela & Adam L. Tyson (2024). neuroinformatics-unit/movement. Zenodo. https://zenodo.org/doi/10.5281/zenodo.12755724

License

⚖️ BSD 3-Clause

Package template

This package layout and configuration (including pre-commit hooks and GitHub actions) have been copied from the python-cookiecutter template.

movement dependencies

attrs h5py numpy pandas pooch pyyaml sleap-io tqdm

FAQs

What is movement?

Analysis of body movement. Visit Snyk Advisor to see a full health score report for movement, including popularity, security, maintenance & community analysis.

Is movement popular?

The python package movement receives a total of 525 weekly downloads. As such, movement popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is movement well maintained?

We found that movement 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 movement safe to use?

The python package movement 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 20 December-2024, at 07:16 (UTC).

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movement

Analysis of body movement For more information about how to use this package see README

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Package

Readme

movement

Quick install

Overview

Join the movement

Citation

License

Package template

movement dependencies

FAQs

What is movement?

Is movement popular?

Is movement well maintained?

Is movement safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Readme

movement

Quick install

Overview

Join the movement

Citation

License

Package template

movement dependencies

FAQs

What is movement?

Is movement popular?

Is movement well maintained?

Is movement safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues