Package Health Score

36 / 100

security
Security review needed
popularity
Limited
maintenance
Inactive
community
Limited

Popularity

Limited

GitHub Stars: 0
Forks: 0
Contributors: 1

Direct Usage Popularity

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

Security

Security review needed

Security and license risk for latest version

Release Date: Apr 24, 2017
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

MIT

Security Policy

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 0
Open PR: 2
Last Release: 8 years ago
Last Commit: 8 years ago

Further analysis of the maintenance status of bigmultiplier 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 bigmultiplier 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

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 1
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like bigmultiplier is missing a Code of Conduct.

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Package

Python Versions Compatibility: Unspecified

Age: 8 years
Latest Release: 8 years ago
Dependencies: 9 Direct / 9 Total
Versions: 2
Maintainers: 1
Wheels: OS Independent

Readme

Big Multiplier

This repository created for matrix multiplication.

The purpose is to prevent being out of memory on GPU.

Doing matrix multiplication is a massive calculation for CPU. However generally GPU rams are not enough. Sometimes it is not possible to place the two of the matrix on the GPU ram.

In this implementation you will find a Theano symbolic multiplication. This function will divide your big matrixes to smaller blocks in order to make possible the calculation on GPU.

Just call the method

result_sparse_matrix = calculate(sparse_matrix_1, sparse_matrix_2)

Implementation is using scipy lil and csr sparse matrix.

Install

pip install bigmultiplier

bigmultiplier dependencies

appdirs decorator networkx numpy packaging pyparsing scipy six theano

FAQs

What is bigmultiplier?

A package for help matrix multiplication. Visit Snyk Advisor to see a full health score report for bigmultiplier, including popularity, security, maintenance & community analysis.

Is bigmultiplier popular?

The python package bigmultiplier receives a total of 48 weekly downloads. As such, bigmultiplier popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is bigmultiplier well maintained?

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

Is bigmultiplier safe to use?

While scanning the latest version of bigmultiplier, 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 29 November-2024, at 14:01 (UTC).

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bigmultiplier

A package for help matrix multiplication For more information about how to use this package see README

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Package Health Score

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Readme

Big Multiplier

Install

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Readme

Big Multiplier

Install

bigmultiplier dependencies

FAQs

What is bigmultiplier?

Is bigmultiplier popular?

Is bigmultiplier well maintained?

Is bigmultiplier safe to use?

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Source Code

Open Source

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