Package Health Score

76 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Active

Explore Similar Packages

Popularity

Small

GitHub Stars: 20.23K
Forks: 7.62K
Contributors: 420

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pycredits, we found that it has been starred 20,226 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Apr 10, 2024
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

Yes

You can connect your project's repository to Snyk to stay up to date on security alerts and receive automatic fix pull requests.

Keep your project free of vulnerabilities with Snyk

Maintenance

Sustainable

Commit Frequency

Open Issues: 1.2K
Open PR: 373
Last Release: 7 months ago
Last Commit: 5 days ago

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

We found that pycredits demonstrates a positive version release cadence with at least one new version released in the past 12 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: 420
Funding: Yes

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

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Ensure all the packages you're using are healthy and well-maintained

Snyk Vulnerability Scanner

Get health score & security insights directly in your IDE

Package

Python Versions Compatibility: >=3.9

Age: 7 months
Latest Release: 7 months ago
Dependencies: 0 Direct
Versions: 2
Maintainers: 1
Wheels: OS Independent

Readme

pycredits

pycredits is DSCI310 Group 12's package for conducting data analyses related to credit risk. This package offers functions designed to facilitate common tasks in credit risk analysis, including data preprocessing, exploratory data analysis, data cleaning, and hyper-parameter tuning. Building off of packages matplotplib and scikit-learn, pycredits streamlines the use of scikit-learn's functions as well as simplifys the creation of specific matplotlib plots relevant to credit analysis.

Installation

$ pip install pycredits

Usage

pycredits provides several useful functions for data preprocessing and analysis in understanding credit risk, such as, preprocess data, create histograms, transform labels, and create parameter grids for grid search.

from pycredits import preprocess_data, column_histogram, map_labels_to_binary, param_grid_for_grid_search
import matplotlib.pyplot as plt

# Preprocess data
X_transformed, y, preprocessor = preprocess_data(df, numeric_features, categorical_features)

# Create histogram for a column
column_plot = column_histogram(fig_width, fig_height, data_frame, column_name)
plt.show()

# Transform label values
y_transformed = map_labels_to_binary(y)

# Create parameter grid for grid search
param_grid = param_grid_for_grid_search(n_estimators_range, max_depth_range)

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

pycredits was created by Jade Bouchard, Shahrukh Islam Prithibi, Sophie Yang, and Yovindu Don. It is licensed under the terms of the MIT license.

Credits

pycredits was created with cookiecutter and the py-pkgs-cookiecutter template.

FAQs

What is pycredits?

A package for running data analyses around credit risk. Visit Snyk Advisor to see a full health score report for pycredits, including popularity, security, maintenance & community analysis.

Is pycredits popular?

We’re still processing downloads data for the python package pycredits. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is pycredits well maintained?

We found indications that pycredits maintenance is sustainable demonstrating some project activity. We saw a total of 420 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is pycredits safe to use?

The python package pycredits 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 6 November-2024, at 05:42 (UTC).

Build a secure application checklist

Select a recommended open source package

Minimize your risk by selecting secure & well maintained open source packages

DONE

Scan your app for vulnerabilities

Scan your application to find vulnerabilities in your: source code, open source dependencies, containers and configuration files

SCAN NOW

Fix identified vulnerabilities

Easily fix your code by leveraging automatically generated PRs

AUTO FIX

Monitor for new issues

New vulnerabilities are discovered every day. Get notified if your application is affected

MONITOR APP

pycredits

A package for running data analyses around credit risk. For more information about how to use this package see README

Ensure you're using the healthiest python packages

Package Health Score

Explore Similar Packages

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Package

Readme

pycredits

Installation

Usage

Contributing

License

Credits

FAQs

What is pycredits?

Is pycredits popular?

Is pycredits well maintained?

Is pycredits safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

pycredits

Installation

Usage

Contributing

License

Credits

FAQs

What is pycredits?

Is pycredits popular?

Is pycredits well maintained?

Is pycredits 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

Monitor for new issues