Package Health Score

66 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

Explore Similar Packages

Popularity

Small

GitHub Stars: 60.51K
Forks: 25.47K
Contributors: 410

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package mangoml, we found that it has been starred 60,506 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 16, 2018
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-3-Clause

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

Inactive

Commit Frequency

Open Issues: 1.55K
Open PR: 549
Last Release: 7 years ago
Last Commit: 3 days ago

Further analysis of the maintenance status of mangoml 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 mangoml 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: 410
Funding: Yes

A good and healthy external contribution signal for mangoml 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: ==2.*

Age: 7 years
Latest Release: 7 years ago
Dependencies: 13 Direct
Versions: 3
Maintainers: 0
Wheels: OS Independent

Readme

mangoml

mango (MAchine learniNG Orchestra) is a python API for quick machine learning experimentation. The idea is to read data from a CSV file and compare different machine learning models using cross-validation.

Much of the operations used to read the data and test machine learning models are repeated for different experiments and the goal here is to avoid this repetition by implementing wrappers of object from the main python libraries used in data science (e.g. scikit-learn, pandas and xgboost).

Most of the configuration needed is made through a JSON file. The JSON objects are read by wrappers for objects from different APIs. The parameters configured through JSON are the same used by scikit/pandas/xgboost objects so you don't need to code everything again.

I've created this API to make it easier to participate in Kaggle competitions. I used the classic Titanic Competition as an example of mangoml utilization.

Any suggestions can be send to my email: gustavohas@outlook.com

mangoml dependencies

bs4 catboost cython fbprophet lightgbm matplotlib nltk numpy pandas pystan scipy sklearn xgboost

FAQs

What is mangoml?

Simple Machine Learning library. Visit Snyk Advisor to see a full health score report for mangoml, including popularity, security, maintenance & community analysis.

Is mangoml popular?

The python package mangoml receives a total of 37 weekly downloads. As such, mangoml popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is mangoml well maintained?

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

Is mangoml safe to use?

The python package mangoml 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 00:18 (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

mangoml

Simple Machine Learning library 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

mangoml

mangoml dependencies

FAQs

What is mangoml?

Is mangoml popular?

Is mangoml well maintained?

Is mangoml 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

mangoml

mangoml dependencies

FAQs

What is mangoml?

Is mangoml popular?

Is mangoml well maintained?

Is mangoml 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