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autoprognosis vulnerabilities

A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
Licenses: MIT | Apache-2.0
Published: 3 years ago Last updated: 8 months ago Latest version: 0.1.22
pip
GitHub

Package Health Score

43/100
  • securitySecurity issues found
  • popularityLimited
  • maintenanceInactive
  • communitySustainable

Maintenance

INACTIVE

Commit Frequency

No commits over the last 6 months

Open Issues
8
Open PR
1
New PRS
1
Last Release
8 months ago
Last Commit
8 months ago
Maintainers
6

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

We found that autoprognosis demonstrates a positive version release cadence with at least one new version released in the past 12 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.

Popularity

LIMITED
GitHub Stars
167
Forks
35
Contributors
6

Based on project statistics from the GitHub repository for the PyPI package autoprognosis, we found that it has been starred 167 times.

Community

SUSTAINABLE
Readme
Yes
Contributing.md
No
Code of Conduct
Yes
Contributors
6
Funding
No
LICENSE
Apache-2.0

This project has seen only 10 or less contributors.

License

MIT[0.1.1,0.1.10);
Apache-2.0[0.1.10,);
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Direct Vulnerabilities

Known vulnerabilities in the autoprognosis package. This does not include vulnerabilities belonging to this package’s dependencies.

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Security

SECURITY ISSUES FOUND
Show only direct vulnerabilities in latest version
VulnerabilityVulnerable Version
  • M
Deserialization of Untrusted Data

[0,)

Package versions

22 VERSIONS IN TOTAL See all versions
versionpublisheddirect vulnerabilities
0.1.2225 Mar, 2025
  • 0
    C
  • 0
    H
  • 1
    M
  • 0
    L
0.1.2115 Mar, 2023
  • 0
    C
  • 0
    H
  • 1
    M
  • 0
    L
0.1.2014 Feb, 2023
  • 0
    C
  • 0
    H
  • 1
    M
  • 0
    L
0.1.1831 Jan, 2023
  • 0
    C
  • 0
    H
  • 1
    M
  • 0
    L
0.1.1727 Jan, 2023
  • 0
    C
  • 0
    H
  • 1
    M
  • 0
    L
0.1.1626 Jan, 2023
  • 0
    C
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  • 1
    M
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    L
0.1.1519 Jan, 2023
  • 0
    C
  • 0
    H
  • 1
    M
  • 0
    L
0.1.1420 Dec, 2022
  • 0
    C
  • 0
    H
  • 1
    M
  • 0
    L
0.1.1320 Dec, 2022
  • 0
    C
  • 0
    H
  • 1
    M
  • 0
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0.1.1217 Dec, 2022
  • 0
    C
  • 0
    H
  • 1
    M
  • 0
    L

autoprognosis dependencies

11 IN TOTAL
cloudpicklejobliblifelineslogurumatplotlibpandaspydanticpyodredisseabornstatsmodels