Package Health Score

81 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Active

Popularity

Small

GitHub Stars: 1.21K
Forks: 507
Contributors: 220

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package fbgemm-gpu-nightly-genai, we found that it has been starred 1,211 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 9, 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

BSD-3

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 38
Open PR: 376
Last Release: 12 days ago
Last Commit: 24 days ago

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

We found that fbgemm-gpu-nightly-genai 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: Yes
Code of Conduct: Yes
Contributors: 220
Funding: No

A good and healthy external contribution signal for fbgemm-gpu-nightly-genai project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: ==3.10.*, ==3.11.*, ==3.12.*, ==3.9.*

Age: 25 days
Latest Release: 12 days ago
Dependencies: 1 Direct
Versions: 5
Maintainers: 0
Wheels: Linux

Readme

FBGEMM_GPU

FBGEMM_GPU (FBGEMM GPU Kernels Library) is a collection of high-performance PyTorch GPU operator libraries for training and inference. The library provides efficient table batched embedding bag, data layout transformation, and quantization supports.

FBGEMM_GPU is currently tested with CUDA 12.4 and 11.8 in CI, and with PyTorch packages (2.1+) that are built against those CUDA versions.

See the full Documentation for more information on building, installing, and developing with FBGEMM_GPU, as well as the most up-to-date support matrix for this library.

Join the FBGEMM_GPU Community

For questions, support, news updates, or feature requests, please feel free to:

File a ticket in GitHub Issues
Post a discussion in GitHub Discussions
Reach out to us on the #fbgemm channel in PyTorch Slack

For contributions, please see the CONTRIBUTING file for ways to help out.

License

FBGEMM_GPU is BSD licensed, as found in the LICENSE file.

fbgemm-gpu-nightly-genai dependencies

numpy

FAQs

What is fbgemm-gpu-nightly-genai?

. Visit Snyk Advisor to see a full health score report for fbgemm-gpu-nightly-genai, including popularity, security, maintenance & community analysis.

Is fbgemm-gpu-nightly-genai popular?

We’re still processing downloads data for the python package fbgemm-gpu-nightly-genai. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is fbgemm-gpu-nightly-genai well maintained?

We found indications that fbgemm-gpu-nightly-genai maintenance is sustainable demonstrating some project activity. We saw a total of 220 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is fbgemm-gpu-nightly-genai safe to use?

The python package fbgemm-gpu-nightly-genai 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 10 December-2024, at 10:45 (UTC).

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Package Health Score

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Security

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Maintenance

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Community

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Readme

FBGEMM_GPU

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License

fbgemm-gpu-nightly-genai dependencies

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Package Health Score

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Commit Frequency

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Readme

FBGEMM_GPU

Join the FBGEMM_GPU Community

License

fbgemm-gpu-nightly-genai dependencies

FAQs

What is fbgemm-gpu-nightly-genai?

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Is fbgemm-gpu-nightly-genai well maintained?

Is fbgemm-gpu-nightly-genai safe to use?

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Source Code

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