ssm-simulators

v0.8.2

SSMS is a package collecting simulators and training data generators for a bunch of generative models of interest in the cognitive science / neuroscience and approximate bayesian computation communities For more information about how to use this package see README

Latest version published 4 days ago

License: MIT

PyPI

GitHub

Package Health Score

66 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Limited

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Popularity

Limited

GitHub Stars: 11
Forks: 12
Contributors: 5

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package ssm-simulators, we found that it has been starred 11 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 18, 2024
Direct Vulnerabilities: 0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 17
Open PR: 3
Last Release: 4 days ago
Last Commit: 23 days ago

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

We found that ssm-simulators 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

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 5
Funding: No

This project has seen only 10 or less contributors.

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

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Package

Python Versions Compatibility: <=3.12,>=3.10

Age: 2 years
Latest Release: 4 days ago
Dependencies: 0 Direct
Versions: 21
Maintainers: 1
Wheels: Linux, macOS, Musllinux, Windows

Readme

SSMS (Sequential Sampling Model Simulators)

Python Package which collects simulators for Sequential Sampling Models.

Find the package documentation here.

PyPI PyPI_dl

Quick Start

The ssms package serves two purposes.

Easy access to fast simulators of sequential sampling models
Support infrastructure to construct training data for various approaches to likelihood / posterior amortization

We provide two minimal examples here to illustrate how to use each of the two capabilities.

Install

Let's start with installing the ssms package.

You can do so by typing,

pip install ssm-simulators

in your terminal.

Below you find a basic tutorial on how to use the package.

Tutorial

Check the basic tutorial here.

FAQs

What is ssm-simulators?

SSMS is a package collecting simulators and training data generators for a bunch of generative models of interest in th... Visit Snyk Advisor to see a full health score report for ssm-simulators, including popularity, security, maintenance & community analysis.

Is ssm-simulators popular?

The python package ssm-simulators receives a total of 995 weekly downloads. As such, ssm-simulators popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is ssm-simulators well maintained?

We found that ssm-simulators demonstrated a healthy version release cadence and project activity. It has a community of 5 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is ssm-simulators safe to use?

The python package ssm-simulators 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 19 December-2024, at 21:53 (UTC).

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