Package Health Score

55 / 100

security
No known security issues
popularity
Limited
maintenance
Inactive
community
Sustainable

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Popularity

Limited

GitHub Stars: 21
Forks: 3
Contributors: 6

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package oci-mlflow, we found that it has been starred 21 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 27, 2023
Direct Vulnerabilities: 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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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

UPL-1.0

Security Policy

Yes

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Maintenance

Inactive

Commit Frequency

Open Issues: 0
Open PR: 1
Last Release: 1 year ago
Last Commit: 1 month ago

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

We found that oci-mlflow 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

Sustainable

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

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.8

Age: 1 year
Latest Release: 1 year ago
Dependencies: 2 Direct
Versions: 4
Maintainers: 3
Wheels: OS Independent

Readme

OCI Mlflow Plugin

The OCI MLflow plugin enables OCI users to use OCI resources to manage their machine learning usecase life cycle. This table below provides the mapping between the MLflow features and the OCI resources that are used.

MLflow Use Case	OCI Resource
User running machine learning experiments on notebook, logs model artifacts, model performance etc	Data Science Jobs, Object Storage, MySQL
Batch workloads using spark	Data Flow, Object Storage, MySQL
Model Deployment	Data Science Model Deployment
User running machine learning experiments on notebook, logs model artifacts, model performance etc	Object Storage, MySQL

Installation

To install the oci-mlflow plugin call -

  python3 -m pip install oci-mlflow

To test the oci-mlflow plugin call -

  mlflow deployments help -t oci-datascience

Documentation

Examples

Running MLflow projects on the OCI `Data Science jobs` and `Data Flow applications` -

export MLFLOW_TRACKING_URI=
mlflow run . --experiment-name My-Experiment --backend oci-datascience --backend-config ./oci-datascience-config.json

Deploying MLflow models to the OCI Model Deployments -

mlflow deployments help -t oci-datascience

export MLFLOW_TRACKING_URI=

mlflow deployments create --name  -m models:// -t oci-datascience --config deploy-config-file=deployment_specification.yaml

Contributing

This project welcomes contributions from the community. Before submitting a pull request, pleasereview our contribution guide

Find Getting Started instructions for developers in README-development.md

Security

Consult the security guide SECURITY.md for our responsible security vulnerability disclosure process.

License

oci-mlflow dependencies

mlflow oracle-ads

FAQs

What is oci-mlflow?

OCI MLflow plugin to use OCI resources within MLflow. Visit Snyk Advisor to see a full health score report for oci-mlflow, including popularity, security, maintenance & community analysis.

Is oci-mlflow popular?

The python package oci-mlflow receives a total of 36 weekly downloads. As such, oci-mlflow popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is oci-mlflow well maintained?

We found indications that oci-mlflow is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is oci-mlflow safe to use?

The python package oci-mlflow 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 19 July-2024, at 14:20 (UTC).

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