kubeflow-mlops | Kubeflow MLOps pipeline using GitHub Actions

by StatCan Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | kubeflow-mlops Summary

kubeflow-mlops is a Python library. kubeflow-mlops has no bugs, it has no vulnerabilities and it has low support. However kubeflow-mlops build file is not available and it has a Non-SPDX License. You can download it from GitHub.

This repository contains examples of integrated Kubeflow End-to-End Pipelines (KFP) using GitHub actions. Focus is on the creation of pluggable components that can make it easier to build your own pipelines enabling more advanced machine learning projects.

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Quality

Security

License

Reuse

Support

kubeflow-mlops has a low active ecosystem.

It has 10 star(s) with 1 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of kubeflow-mlops is current.

Quality

kubeflow-mlops has 0 bugs and 0 code smells.

Security

kubeflow-mlops has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

kubeflow-mlops code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

kubeflow-mlops has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

kubeflow-mlops releases are not available. You will need to build from source code and install.

kubeflow-mlops has no build file. You will be need to create the build yourself to build the component from source.

It has 1373 lines of code, 41 functions and 19 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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kubeflow-mlops Key Features

No Key Features are available at this moment for kubeflow-mlops.

kubeflow-mlops Examples and Code Snippets

No Code Snippets are available at this moment for kubeflow-mlops.

Community Discussions

No Community Discussions are available at this moment for kubeflow-mlops.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install kubeflow-mlops

You can download it from GitHub.
You can use kubeflow-mlops like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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