Package Health Score

84 / 100

security
No known security issues
popularity
Recognized
maintenance
Healthy
community
Active

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Popularity

Recognized

GitHub Stars: 271
Forks: 86
Contributors: 60

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package dask-cuda, we found that it has been starred 271 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Apr 12, 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
0
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

Healthy

Commit Frequency

Open Issues: 74
Open PR: 9
Last Release: 14 days ago
Last Commit: 8 days ago

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

We found that dask-cuda demonstrates a positive version release cadence with at least one new version released in the past 3 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: No
Code of Conduct: Yes
Contributors: 60
Funding: No

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

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Package

Python Versions Compatibility: >=3.9

Age: 5 years
Latest Release: 14 days ago
Dependencies: 0 Direct
Versions: 1.96K
Maintainers: 3
Wheels: OS Independent

Readme

Dask CUDA

Various utilities to improve deployment and management of Dask workers on CUDA-enabled systems.

This library is experimental, and its API is subject to change at any time without notice.

Example

from dask_cuda import LocalCUDACluster
from dask.distributed import Client

cluster = LocalCUDACluster()
client = Client(cluster)

Documentation is available here.

What this is not

This library does not automatically convert your Dask code to run on GPUs.

It only helps with deployment and management of Dask workers in multi-GPU systems. Parallelizing GPU libraries like RAPIDS and CuPy with Dask is an ongoing effort. You may wish to read about this effort at blog.dask.org for more information. Additional information about Dask-CUDA can also be found in the docs.

FAQs

What is dask-cuda?

Utilities for Dask and CUDA interactions. Visit Snyk Advisor to see a full health score report for dask-cuda, including popularity, security, maintenance & community analysis.

Is dask-cuda popular?

The python package dask-cuda receives a total of 33,543 weekly downloads. As such, dask-cuda popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is dask-cuda well maintained?

We found that dask-cuda demonstrated a healthy version release cadence and project activity. It has a community of 60 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is dask-cuda safe to use?

The python package dask-cuda 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 25 April-2024, at 00:51 (UTC).

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dask-cuda

Utilities for Dask and CUDA interactions For more information about how to use this package see README

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Readme

Dask CUDA

Example

What this is not

FAQs

What is dask-cuda?

Is dask-cuda popular?

Is dask-cuda well maintained?

Is dask-cuda safe to use?

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Package Health Score

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Readme

Dask CUDA

Example

What this is not

FAQs

What is dask-cuda?

Is dask-cuda popular?

Is dask-cuda well maintained?

Is dask-cuda safe to use?

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Source Code

Open Source

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Config

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