View nebullvm on Snyk Open Source Advisor

Package Health Score

52 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Active

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Popularity

Small

GitHub Stars: 8.38K
Forks: 637
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package nebullvm, we found that it has been starred 8,378 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jun 18, 2023
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
H
1
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 100
Open PR: 11
Last Release: 2 years ago
Last Commit: 5 months ago

Further analysis of the maintenance status of nebullvm 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 nebullvm 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

Active

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

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

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Package

Python Versions Compatibility: Unspecified

Age: 3 years
Latest Release: 2 years ago
Dependencies: 8 Direct / 12 Total
Versions: 26
Maintainers: 0
Wheels: OS Independent

Readme

A framework for building optimization modules to boost the performances of your AI systems

Documentation: docs.nebuly.com/

Nebullvm is a framework for building the optimization modules needed to optimize the performances of your AI systems. The optimization modules are stack-agnostic and work with any library. They are designed to be easily integrated into your system, providing a quick and seamless boost to its performance. Simply plug and play to start realizing the benefits of optimized performance right away.

If you like the idea, give us a star to show your support for the project ⭐

What can this help with?

There are multiple modules we actually provide built on top of the framework:

✅ Speedster: Automatically apply the best set of SOTA optimization techniques to achieve the maximum inference speed-up on your hardware.

✅ OpenAlphaTensor: Increase the computational performances of an AI model with custom-generated matrix multiplication algorithm fine-tuned for your specific hardware.

✅ Forward-Forward: The Forward Forward algorithm is a method for training deep neural networks that replaces the backpropagation forward and backward passes with two forward passes.

Next modules and roadmap

We are actively working on incorporating the following modules, as requested by members of our community, in upcoming releases:

[ ] CloudSurfer: Automatically discover the optimal cloud configuration and hardware on AWS, GCP and Azure to run your AI models.
[ ] OptiMate: Interactive tool guiding savvy users in achieving the best inference performance out of a given model / hardware setup.

Contributing

As an open source project in a rapidly evolving field, we welcome contributions of all kinds, including new features, improved infrastructure, and better documentation. If you're interested in contributing, please see the linked page for more information on how to get involved.

Join the community | Contribute to the library

nebullvm dependencies

loguru numpy packaging psutil py-cpuinfo pyyaml requests tqdm

FAQs

What is nebullvm?

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

Is nebullvm popular?

The python package nebullvm receives a total of 419 weekly downloads. As such, nebullvm popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is nebullvm well maintained?

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

Is nebullvm safe to use?

While scanning the latest version of nebullvm, 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 22 December-2024, at 02:03 (UTC).

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Readme

What can this help with?

Next modules and roadmap

Contributing

nebullvm dependencies

FAQs

What is nebullvm?

Is nebullvm popular?

Is nebullvm well maintained?

Is nebullvm safe to use?

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