Package Health Score

84 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

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33

Popularity

Small

GitHub Stars: 39.36K
Forks: 2.48K
Contributors: 440

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package fameio, we found that it has been starred 39,363 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 2, 2024
Direct Vulnerabilities: 0
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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

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 356
Open PR: 28
Last Release: 24 days ago
Last Commit: 2 days ago

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

We found that fameio 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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 440
Funding: No

A good and healthy external contribution signal for fameio project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: <4.0,>=3.9

Age: 4 years
Latest Release: 24 days ago
Dependencies: 0 Direct
Versions: 27
Maintainers: 0
Wheels: OS Independent

Readme

GitLab last commit GitLab closed issues by-label

FAME-Io

Tools for input preparation and output digestion of FAME models

FAME-Io compiles input for FAME models in protobuf format and extracts model outputs to human-readable files. Please visit the FAME-Wiki to get an explanation of FAME and its components.

Installation

We recommend installing fameio using PyPI:

pip install fameio

You may also use pipx. For detailed information please refer to the official pipx documentation.

pipx install fameio

fameio is currently developed and tested for Python 3.8 or higher. See the pyproject.toml for a complete listing of dependencies.

Usage

FAME-Io currently offers two main scripts makeFameRunConfig and convertFameResults. Both are automatically installed with the package. The first one creates a protobuf file for FAME applications using YAML definition files and CSV files. The latter one reads output files from FAME applications in protobuf format and converts them to CSV files.

You may use the example data provided for the AMIRIS model which can be used to simulate electricity markets in Germany, Austria, and a simple proof-of-concept model.

Make a FAME run configuration

Digests configuration files in YAML format, combines them with CSV data files and creates a single input file for FAME applications in protobuf format. Call structure:

makeFameRunConfig -f

FAQs

What is fameio?

Tools for input preparation and output digestion of FAME models. Visit Snyk Advisor to see a full health score report for fameio, including popularity, security, maintenance & community analysis.

Is fameio popular?

The python package fameio receives a total of 507 weekly downloads. As such, fameio popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is fameio well maintained?

We found that fameio demonstrated a healthy version release cadence and project activity. It has a community of 440 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is fameio safe to use?

The python package fameio 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 26 December-2024, at 23:47 (UTC).

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fameio

Tools for input preparation and output digestion of FAME models For more information about how to use this package see README

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Package

Readme

FAME-Io

Installation

Usage

Make a FAME run configuration

FAQs

What is fameio?

Is fameio popular?

Is fameio well maintained?

Is fameio safe to use?

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Scan your app for vulnerabilities

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Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Readme

FAME-Io

Installation

Usage

Make a FAME run configuration

FAQs

What is fameio?

Is fameio popular?

Is fameio well maintained?

Is fameio safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

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