Package Health Score

61 / 100

security
Security issues found
popularity
Popular
maintenance
Healthy
community
Active

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Popularity

Popular

GitHub Stars: 8.03K
Forks: 778
Contributors: 140

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package mage-ai, we found that it has been starred 8,031 times.

Security

Security issues found

Security and license risk for latest version

Release Date: Dec 4, 2024
Direct Vulnerabilities: 0
C
4
H
1
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 1
H
8
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

We found a way for you to contribute to the project! Looks like mage-ai is missing a security policy.

Snyk detected that the latest version of mage-ai has a security vulnerability.

We highly advise you to review these security issues.

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Maintenance

Healthy

Commit Frequency

Open Issues: 392
Open PR: 92
Last Release: 21 days ago
Last Commit: 3 days ago

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

We found that mage-ai 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: No
Code of Conduct: No
Contributors: 140
Funding: No

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

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

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Package

Python Versions Compatibility: >=3.7

Age: 3 years
Latest Release: 21 days ago
Dependencies: 3 Direct / 107 Total
Versions: 338
Maintainers: 0
Wheels: OS Independent

Readme

Mage AI

Give your data team magical powers.

Mage is a hybrid framework for transforming and integrating data. It combines the best of both worlds: the flexibility of notebooks with the rigor of modular code.

Extract and synchronize data from 3rd party sources.
Transform data with real-time and batch pipelines using Python, SQL, and R.
Load data into your data warehouse or data lake using our pre-built connectors.
Run, monitor, and orchestrate thousands of pipelines without losing sleep.

Plus hundreds of enterprise-class features, infrastructure innovations, and magical surprises.

Available in two spellbinding versions

For teams. Fully managed platform for integrating and transforming data.

Self-hosted. System to build, run, and manage data pipelines.

It’s magic.

For documentation on getting started, how to develop, and how to deploy to production check out the live
Developer documentation portal.

🏃‍♀️ Install

The recommended way to install the latest version of Mage is through Docker with the following command:

docker pull mageai/mageai:latest

You can also install Mage using pip or conda, though this may cause dependency issues without the proper environment.

pip install mage-ai

conda install -c conda-forge mage-ai

Looking for help? The fastest way to get started is by checking out our documentation here.

Looking for quick examples? Open a demo project right in your browser or check out our guides.

🎮 Demo

Live demo

Build and run a data pipeline with our demo app.

> WARNING > > The live demo is public to everyone, please don’t save anything sensitive (e.g. passwords, secrets, etc).

Demo video (5 min)

_{Click the image to play video}

🔮 Features


🎶	Orchestration	Schedule and manage data pipelines with observability.
📓	Notebook	Interactive Python, SQL, & R editor for coding data pipelines.
🏗️	Data integrations	Synchronize data from 3rd party sources to your internal destinations.
🚰	Streaming pipelines	Ingest and transform real-time data.
❎	dbt	Build, run, and manage your dbt models with Mage.

A sample data pipeline defined across 3 files ➝

Load data ➝

@data_loader
def load_csv_from_file() -&gt; pl.DataFrame:
    return pl.read_csv('default_repo/titanic.csv')

Transform data ➝

@transformer
def select_columns_from_df(df: pl.DataFrame, *args) -&gt; pl.DataFrame:
    return df[['Age', 'Fare', 'Survived']]

Export data ➝

@data_exporter
def export_titanic_data_to_disk(df: pl.DataFrame) -&gt; None:
    df.to_csv('default_repo/titanic_transformed.csv')

mage-ai dependencies

cachetools memory-profiler simplejson

FAQs

What is mage-ai?

Mage is a tool for building and deploying data pipelines. Visit Snyk Advisor to see a full health score report for mage-ai, including popularity, security, maintenance & community analysis.

Is mage-ai popular?

The python package mage-ai receives a total of 15,682 weekly downloads. As such, mage-ai popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is mage-ai well maintained?

We found that mage-ai demonstrated a healthy version release cadence and project activity. It has a community of 140 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is mage-ai safe to use?

Security issues were found while scanning the latest version of mage-ai, and a total of 5 vulnerabilities were detected. It is highly advised to conduct a security review before using this package. View the full security scan results.

Last updated on 25 December-2024, at 12:42 (UTC).

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mage-ai

Mage is a tool for building and deploying data pipelines. For more information about how to use this package see README

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Package Health Score

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Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

Readme

Mage AI

Available in two spellbinding versions

It’s magic.

🏃‍♀️ Install

🎮 Demo

Live demo

Demo video (5 min)

🔮 Features

mage-ai dependencies

FAQs

What is mage-ai?

Is mage-ai popular?

Is mage-ai well maintained?

Is mage-ai 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

Mage AI

Available in two spellbinding versions

It’s magic.

🏃‍♀️ Install

🎮 Demo

Live demo

Demo video (5 min)

🔮 Features

mage-ai dependencies

FAQs

What is mage-ai?

Is mage-ai popular?

Is mage-ai well maintained?

Is mage-ai 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