View layer on Snyk Open Source Advisor

Package Health Score

48 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Sustainable

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Popularity

Small

GitHub Stars: 89
Forks: 7
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package layer, we found that it has been starred 89 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Sep 29, 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
4
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

archived

Commit Frequency

No Recent Commits

Open Issues: 2
Open PR: 0
Last Release: 2 years ago
Last Commit: 2 years ago

Further analysis of the maintenance status of layer 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 layer 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.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the layer repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like layer is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.7.1,<3.11

Age: 3 years
Latest Release: 2 years ago
Dependencies: 20 Direct / 60 Total
Versions: 438
Maintainers: 1
Wheels: OS Independent

Readme

Layer - Metadata Store for Production ML

Layer - Metadata store for production ML

Layer helps you build, train and track all your machine learning project metadata including ML models and datasets with semantic versioning, extensive artifact logging and dynamic reporting with local↔cloud training

Start for Free now!

Getting Started

Install Layer:

pip install layer --upgrade

import layer
layer.login()
layer.init("my-first-project")

Decorate your training function to register your model to Layer:

from layer.decorators import model

@model("my-model")
def train():
    from sklearn import datasets
    from sklearn.svm import SVC
    iris = datasets.load_iris()
    clf = SVC()
    clf.fit(iris.data, iris.target)
    return clf

train()

Now you can fetch your model from Layer:

import layer

clf = layer.get_model("my-model:1.1").get_train()
clf

# &gt; SVC()

🚀 Try in Google Colab now!

Reporting bugs

You have a bug, a request or a feature? Let us know on Slack or open an issue

Contributing code

Do you want to help us build the best metadata store? Check out the Contributing Guide

Learn more

Join our Slack Community to connect with other Layer users
Visit the examples repo for more inspiration
Browse Community Projects to see more use cases
Check out the Documentation
Contact us for your questions

layer dependencies

aiohttp boto3 cryptography humanize jinja2 layer-api lazy-loader mlflow-skinny networkx numpy nvsmi pandas polling psutil pyarrow pyjwt requests rich wrapt yarl

FAQs

What is layer?

Layer AI SDK. Visit Snyk Advisor to see a full health score report for layer, including popularity, security, maintenance & community analysis.

Is layer popular?

The python package layer receives a total of 5,835 weekly downloads. As such, layer popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is layer well maintained?

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

Is layer safe to use?

While scanning the latest version of layer, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 7 November-2024, at 04:09 (UTC).

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layer

Layer AI SDK For more information about how to use this package see README

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Popularity

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Security

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Maintenance

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Community

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Package

Readme

Layer - Metadata Store for Production ML

Getting Started

Reporting bugs

Contributing code

Learn more

layer dependencies

FAQs

What is layer?

Is layer popular?

Is layer well maintained?

Is layer safe to use?

Build a secure application checklist

Select a recommended open source package

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

Layer - Metadata Store for Production ML

Getting Started

Reporting bugs

Contributing code

Learn more

layer dependencies

FAQs

What is layer?

Is layer popular?

Is layer well maintained?

Is layer 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