mlflow-databricks-artifacts

v2.0.1

Plugin to create and access MLflow-managed artifacts on Databricks For more information about how to use this package see README

Latest version published 2 years ago
License: Apache-2.0

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Package Health Score

63 / 100

Popularity

Small
GitHub Stars
18.83K
Forks
4.25K
Contributors
460

Direct Usage Popularity

TOP 30%

Based on project statistics from the GitHub repository for the PyPI package mlflow-databricks-artifacts, we found that it has been starred 18,828 times.

Security

Security review needed
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2.0.1 (Latest)

Security and license risk for latest version

Release Date
Oct 20, 2022
Direct Vulnerabilities
  • 0
    C
  • 0
    H
  • 0
    M
  • 0
    L
Indirect Vulnerabilities
  • 0
    C
  • 0
    H
  • 0
    M
  • 0
    L
License Risk
  • 0
    H
  • 2
    M
  • 0
    L
All security vulnerabilities belong to production dependencies of direct and indirect packages.

License
Apache-2.0

Security Policy
Yes

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Maintenance

Inactive

Commit Frequency

Open Issues
1.33K
Open PR
329
Last Release
2 years ago
Last Commit
4 days ago

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

An important project maintenance signal to consider for mlflow-databricks-artifacts is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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
460
Funding
No

A good and healthy external contribution signal for mlflow-databricks-artifacts project, which invites more than one hundred open source maintainers to collaborate on the repository.


Embed Package Health Score Badge

package health: 63/100 package health 63/100

Package

Python Versions Compatibility
Unspecified

Age
4 years
Latest Release
2 years ago
Dependencies
1 Direct / 26 Total
Versions
3
Maintainers
2
Wheels
OS Independent