View multichain_mcmc on Snyk Open Source Advisor

Package Health Score

60 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

Popularity

Small

GitHub Stars: 8.72K
Forks: 2.01K
Contributors: -

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package multichain_mcmc, we found that it has been starred 8,721 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 21, 2010
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-2-Clause

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 247
Open PR: 69
Last Release: 14 years ago
Last Commit: 11 days ago

Further analysis of the maintenance status of multichain_mcmc 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 multichain_mcmc 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.

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: 0
Funding: Yes

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: Unspecified

Age: 15 years
Latest Release: 14 years ago
Dependencies: N/A
Versions: 4
Maintainers: 1
Wheels: No

Readme

A simple framework based on PyMC for multichain MCMC algorithms.

> Contains working implementations of:
> - DREAM/DREAM_ZS sampler : multichain_mcmc.dream.DreamSampler > - Adaptive Metropolis Adjusted Langevin Algorithm (AMALA) sampler : > multichain_mcmc.amala.AmalaSampler > > See the sampler classes for details. AMALA sampler requires PyMC branch with gradient information support to function.
>

FAQs

What is multichain_mcmc?

Multichain MCMC framework and algorithms. Visit Snyk Advisor to see a full health score report for multichain_mcmc, including popularity, security, maintenance & community analysis.

Is multichain_mcmc popular?

The python package multichain_mcmc receives a total of 31 weekly downloads. As such, multichain_mcmc popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is multichain_mcmc well maintained?

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

Is multichain_mcmc safe to use?

The python package multichain_mcmc 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 14 November-2024, at 01:33 (UTC).

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multichain_mcmc

Multichain MCMC framework and algorithms For more information about how to use this package see README

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Package Health Score

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Security

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Readme

FAQs

What is multichain_mcmc?

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Is multichain_mcmc well maintained?

Is multichain_mcmc safe to use?

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Package Health Score

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Readme

FAQs

What is multichain_mcmc?

Is multichain_mcmc popular?

Is multichain_mcmc well maintained?

Is multichain_mcmc safe to use?

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Source Code

Open Source

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