Package Health Score

56 / 100

security
Security review needed
popularity
Small
maintenance
Sustainable
community
Limited

Explore Similar Packages

Popularity

Small

GitHub Stars: 21
Forks: 20
Contributors: 30

Direct Usage Popularity

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

Security

Security review needed

Security and license risk for latest version

Release Date: Feb 22, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
1
M
0
L

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: 8
Open PR: 4
Last Release: 8 months ago
Last Commit: 7 months ago

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

We found that heavyai demonstrates a positive version release cadence with at least one new version released in the past 12 months.

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

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 30
Funding: No

With more than 10 contributors for the heavyai 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 heavyai is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.7

Age: 3 years
Latest Release: 8 months ago
Dependencies: 6 Direct / 20 Total
Versions: 6
Maintainers: 5
Wheels: OS Independent

Readme

heavyai

This package enables using common Python data science toolkits with HeavyDB. It brings data frame support on CPU and GPU as well as support for arrow. See the documentation for more.

Quick Install (CPU)

Packages are available on conda-forge and PyPI:

# using conda-forge
conda install -c conda-forge heavyai

# using pip
pip install heavyai

Quick Install (GPU)

We recommend creating a fresh conda 3.8 or 3.9 environment when installing heavyai with GPU capabilities.

To install heavyai for GPU Dataframe support (conda-only):

mamba create -n heavyai-gpu -c rapidsai -c nvidia -c conda-forge -c defaults \
    --no-channel-priority \
    cudf heavyai pyheavydb pytest shapely geopandas pyarrow=*=*cuda

Documentation

Further documentation for heavyai usage is available at: http://heavyai.readthedocs.io/

heavyai dependencies

importlib-metadata numpy pandas pyarrow pyheavydb shapely

FAQs

What is heavyai?

Data science toolkit support for HeavyDB. Visit Snyk Advisor to see a full health score report for heavyai, including popularity, security, maintenance & community analysis.

Is heavyai popular?

The python package heavyai receives a total of 2,728 weekly downloads. As such, heavyai popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is heavyai well maintained?

We found indications that heavyai maintenance is sustainable demonstrating some project activity. We saw a total of 30 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is heavyai safe to use?

While scanning the latest version of heavyai, 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 31 October-2024, at 16:06 (UTC).

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heavyai

Data science toolkit support for HeavyDB For more information about how to use this package see README

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Package Health Score

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Package

Readme

heavyai

Quick Install (CPU)

Quick Install (GPU)

Documentation

heavyai dependencies

FAQs

What is heavyai?

Is heavyai popular?

Is heavyai well maintained?

Is heavyai safe to use?

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Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Readme

heavyai

Quick Install (CPU)

Quick Install (GPU)

Documentation

heavyai dependencies

FAQs

What is heavyai?

Is heavyai popular?

Is heavyai well maintained?

Is heavyai 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