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depthcharge-ms

v0.4.8

A mass spectrometry toolkit for deep learning with Transformer models. For more information about how to use this package see README

Latest version published 8 months ago
License: Apache-2.0
PyPI
GitHub

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Package Health Score

61 / 100

Popularity

Limited
GitHub Stars
67
Forks
19
Contributors
6

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package depthcharge-ms, we found that it has been starred 67 times.

Security

No known security issues
Powered by Snyk
0.4.8 (Latest)

Security and license risk for latest version

Release Date
May 10, 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
Apache-2.0
Security Policy
No

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Maintenance

Inactive

Commit Frequency

Open Issues
10
Open PR
5
Last Release
8 months ago
Last Commit
8 months ago

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

We found that depthcharge-ms demonstrates a positive version release cadence with at least one new version released in the past 12 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

Sustainable
Readme
No
Contributing.md
Yes
Code of Conduct
Yes
Contributors
6
Funding
No

This project has seen only 10 or less contributors.

How about a good first contribution to this project? It seems that depthcharge-ms is missing a README file.

Embed Package Health Score Badge

package health: 61/100 package health 61/100

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Package

Python Versions Compatibility
>=3.10
Age
2 years
Latest Release
8 months ago
Dependencies
0 Direct
Versions
17
Maintainers
0
Wheels
OS Independent