Package Health Score

81 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Active

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Popularity

Small

GitHub Stars: 1.33K
Forks: 422
Contributors: 160

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package data-prep-toolkit-kfp-shared, we found that it has been starred 1,334 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 27, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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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

Apache-2.0

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 264
Open PR: 42
Last Release: 6 months ago
Last Commit: 6 days ago

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

We found that data-prep-toolkit-kfp-shared 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.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 160
Funding: No

A good and healthy external contribution signal for data-prep-toolkit-kfp-shared project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: <3.12,>=3.10

Age: 6 months
Latest Release: 6 months ago
Dependencies: 2 Direct
Versions: 1
Maintainers: 0
Wheels: OS Independent

Readme

Shared Workflow Support

This provides support for implementing KFP pipelines automating transform's execution. This library is not dependent on KFP version. KFP dependent modules are in kfp_v1_workflow_support and kfp_v2_workflow_support

this module combines 2 inner modules

python apiserver client, which is a copy of Kuberay API server-client python APIs We added it into the project, because these APIs are not exposed by any PyPi.
runtime_utils

Development

Requirements

python 3.10 or later
git command line tools
pre-commit
twine (pip install twine)
- but on Mac you may have to include a dir in your PATH, such as export PATH=$PATH:/Library/Frameworks/Python.framework/Versions/3.10/bin

Git

Simple clone the repo and set up the pre-commit hooks.

git clone git@github.com:IBM/data-prep-kit.git
cd kfp/kfp_support_lib/shared_workflow_support
pre-commit install

If you don't have pre-commit, you can install from here

Library Artifact Build and Publish

The process of creating a release for the package involves the following steps:

cd to the package directory.
update the DPK_LIB_KFP_SHARED version in .make.versions file.
run make set-versions and make build and make publish.

Testing

To run the package tests perform the following:

To begin with, establish a Kind cluster and deploy all required components by executing the makfefile command in the main directory of this repository. As an alternative, you can manually execute the instructions provided in the README.md file.

make setup

The next step is to deploy the data-prep-kit-kfp package locally within a Python virtual environment.

make  build

lastly, execute the tests:

make test

Cleanup

It is advisable to execute the following command prior to running make test once more. This will ensure that any previous test runs resources are removed before starting new tests.

kubectl delete workflows -n kubeflow --all

data-prep-toolkit-kfp-shared dependencies

kubernetes requests

FAQs

What is data-prep-toolkit-kfp-shared?

Data Preparation Kit Library. KFP support. Visit Snyk Advisor to see a full health score report for data-prep-toolkit-kfp-shared, including popularity, security, maintenance & community analysis.

Is data-prep-toolkit-kfp-shared popular?

We’re still processing downloads data for the python package data-prep-toolkit-kfp-shared. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is data-prep-toolkit-kfp-shared well maintained?

We found indications that data-prep-toolkit-kfp-shared maintenance is sustainable demonstrating some project activity. We saw a total of 160 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is data-prep-toolkit-kfp-shared safe to use?

The python package data-prep-toolkit-kfp-shared 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 07:05 (UTC).

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data-prep-toolkit-kfp-shared

Data Preparation Kit Library. KFP support For more information about how to use this package see README

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Package

Readme

Shared Workflow Support

Development

Requirements

Git

Library Artifact Build and Publish

Testing

Cleanup

data-prep-toolkit-kfp-shared dependencies

FAQs

What is data-prep-toolkit-kfp-shared?

Is data-prep-toolkit-kfp-shared popular?

Is data-prep-toolkit-kfp-shared well maintained?

Is data-prep-toolkit-kfp-shared safe to use?

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Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

Shared Workflow Support

Development

Requirements

Git

Library Artifact Build and Publish

Testing

Cleanup

data-prep-toolkit-kfp-shared dependencies

FAQs

What is data-prep-toolkit-kfp-shared?

Is data-prep-toolkit-kfp-shared popular?

Is data-prep-toolkit-kfp-shared well maintained?

Is data-prep-toolkit-kfp-shared 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