🤖 AI Analysis

Final verdict: SAFE

The package ae-i18n v0.3.35 shows minimal risk indicators with no network calls, shell executions, or obfuscations detected. The metadata risk is slightly elevated due to the maintainer having only one package on PyPI, but this alone does not suggest any malicious activity.

No network calls detected
No shell execution patterns
Maintainer has only one PyPI package

Per-check LLM notes

Network: No network calls detected, which is normal for packages without external service dependencies.
Shell: No shell execution patterns detected, indicating the package does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
Credentials: No credential harvesting patterns detected, suggesting the package does not pose a threat for stealing secrets or credentials.
Metadata: The maintainer has only one package on PyPI which may indicate a new or less active account, but there are no clear signs of typosquatting or other malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "AndiEcker" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with ae-i18n

Create a simple weather app that supports multiple languages using the 'ae-i18n' package. This app will fetch current weather data from an API (such as OpenWeatherMap) and display it in a user-friendly manner, allowing users to switch between different languages to see localized weather descriptions and alerts.

Step 1: Set up your development environment with Python and install necessary packages including 'ae-i18n', 'requests', and any other required libraries.

Step 2: Define the structure of your app. It should have a main menu where users can select their preferred language and enter a city name to get weather updates.

Step 3: Utilize 'ae-i18n' to manage translations. Create translation files for at least three languages (e.g., English, Spanish, French). Each file should contain localized strings for weather conditions such as 'sunny', 'cloudy', etc.

Step 4: Implement the logic to fetch weather data using the OpenWeatherMap API. Ensure that the app can handle different units of measurement (metric vs imperial).

Step 5: Integrate 'ae-i18n' into your app so that when a user selects a language, all displayed information is translated appropriately. This includes temperature readings, wind speed, humidity levels, and weather condition descriptions.

Step 6: Add additional features like saving frequently checked cities, displaying a forecast for the next few days, and showing alerts for extreme weather conditions.

Step 7: Test your application thoroughly across different languages and ensure that all translations are accurate and contextually appropriate.

This project aims to demonstrate the practical application of internationalization techniques in Python using the 'ae-i18n' package while providing a useful tool for checking local weather conditions.