Package Health Score

54 / 100

security
Security review needed
popularity
Limited
maintenance
Sustainable
community
Limited

Popularity

Limited

GitHub Stars: 0
Forks: 0
Contributors: 1

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package imt-diodem, we found that it has been starred ? times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 30, 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

Unknown

Unable to detect license

We couldn’t find an appropriate license for this project. It is highly advised to make sure the project license is compatible with your business needs before including it as a dependency, to keep yourself protected from infringement suits or loss of your own code.

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 0
Open PR: 0
Last Release: 20 days ago
Last Commit: 20 days ago

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

We found that imt-diodem 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: 1
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: 20 days ago
Dependencies: 7 Direct
Versions: 3
Maintainers: 1
Wheels: OS Independent

Readme

DIODEM -- A Diverse Inertial and Optical Dataset of KinEmatic chain Motion

This repository contains the source code of a Python Package (published on PyPI under imt-diodem) that allows for easy-access to the DIODEM dataset.

The dataset files are hosted on Harvard Dataverse (https://doi.org/10.7910/DVN/SGJLZA). This Python Package then downloads the required dataset files from Dataverse. A detailed description of this dataset if given in the following publication soon.

Quickstart

import diodem

# concatenates 3 motions: the motion01, motion02 and motion03 
data = diodem.load_data(
    exp_id         = 1,
    motion_start   = 1,
    motion_stop    = 3,
    resample_to_hz = 100
)

print(data.keys())
# ['seg1', 'seg2', 'seg3', 'seg4', 'seg5']

print(data['seg1'].keys())
# ['imu_rigid', 'imu_nonrigid', 'marker1', 'marker2', 'marker3', 'marker4', 'quat']

print(data['seg1']['imu_rigid'].keys())
# ['acc', 'gyr', 'mag']

imt-diodem dependencies

dm-tree imt-tree-utils numpy pandas qmt requests scipy

FAQs

What is imt-diodem?

DIODEM -- A Diverse Inertial and Optical Dataset of kinEmatic chain Motion. Visit Snyk Advisor to see a full health score report for imt-diodem, including popularity, security, maintenance & community analysis.

Is imt-diodem popular?

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

Is imt-diodem well maintained?

We found indications that imt-diodem maintenance is sustainable demonstrating some project activity. We saw a total of 1 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is imt-diodem safe to use?

While scanning the latest version of imt-diodem, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 19 November-2024, at 04:31 (UTC).

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