Package Health Score

63 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Limited

Popularity

Limited

GitHub Stars: 35
Forks: 9
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package furiosa-llm, we found that it has been starred 35 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 28, 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

Sustainable

Commit Frequency

No Recent Commits

Open Issues: 0
Open PR: 2
Last Release: 29 days ago
Last Commit: 1 year ago

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

We found that furiosa-llm demonstrates a positive version release cadence with at least one new version released in the past 3 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 furiosa-llm 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 furiosa-llm is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.8

Age: 2 months
Latest Release: 29 days ago
Dependencies: 5 Direct
Versions: 2
Maintainers: 1
Wheels: OS Independent

Readme

furiosa_llm

This is an implementation of a high-throughput inference engine for LLMs using FuriosaAI NPUs. To learn how to build, run and tests, please refer to the furiosa-runtime/README.md.

furiosa-llm dependencies

accelerate gitpython more-itertools pyyaml ray

FAQs

What is furiosa-llm?

"Furiosa LLM. Visit Snyk Advisor to see a full health score report for furiosa-llm, including popularity, security, maintenance & community analysis.

Is furiosa-llm popular?

We’re still processing downloads data for the python package furiosa-llm. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is furiosa-llm well maintained?

We found indications that furiosa-llm 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 furiosa-llm safe to use?

The python package furiosa-llm 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 16 November-2024, at 05:24 (UTC).

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furiosa-llm

"Furiosa LLM For more information about how to use this package see README

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Package Health Score

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

Readme

furiosa_llm

furiosa-llm dependencies

FAQs

What is furiosa-llm?

Is furiosa-llm popular?

Is furiosa-llm well maintained?

Is furiosa-llm safe to use?

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Package Health Score

Direct Usage Popularity

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Commit Frequency

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Readme

furiosa_llm

furiosa-llm dependencies

FAQs

What is furiosa-llm?

Is furiosa-llm popular?

Is furiosa-llm well maintained?

Is furiosa-llm safe to use?

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Source Code

Open Source

Container

Config

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