🤖 AI Analysis

Final verdict: SAFE

The package appears safe based on the analysis notes. It has a low risk score due to no detected obfuscation, shell execution, or credential harvesting.

Network risk is moderate due to expected file downloads.
No signs of malicious activity detected.

Per-check LLM notes

Network: The observed network calls are likely downloading files which is expected if the package is meant to handle or process GTFS (General Transit Feed Specification) data.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

com/gtfs_subway.zip" r = requests.get(URL) with open("gtfs/gtfs.zip", "wb") as fd: f
le_name}" response = requests.get(url) with open(file_name, "wb") as f:

✓ 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 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "pacmanboss256" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with MTAtabase

Your task is to develop a real-time public transportation information app using the Python package 'MTAtabase'. This app will parse GTFS data from various transit agencies, store it in a database, and provide users with up-to-date schedules and route information without relying on any external APIs. Here’s a detailed breakdown of what your application should achieve:

1. **Data Parsing**: Use 'MTAtabase' to download and parse GTFS files from multiple transit agencies. Ensure your app supports different formats and versions of GTFS.
2. **Database Management**: Implement a robust database management system within your app where parsed data is stored efficiently. Utilize 'MTAtabase' functionalities to manage this process seamlessly.
3. **User Interface**: Create an intuitive user interface where users can search for routes, stops, and schedules based on their location or destination. Users should be able to filter results by time of day, day of week, and type of transport.
4. **Real-Time Updates**: Integrate functionality that periodically updates the database with new GTFS files to ensure the schedule information is always current. Use 'MTAtabase' to automate this process.
5. **Accessibility Features**: Include accessibility options such as voice commands and screen reader support to make your app usable for all.
6. **Geolocation Services**: Enable geolocation services so users can find nearby transit stops and routes dynamically.
7. **Notifications**: Allow users to set up notifications for upcoming departures at specific stops or for changes in schedules.
8. **Feedback Mechanism**: Incorporate a feedback mechanism where users can report issues or suggest improvements directly from the app.

Utilize 'MTAtabase' throughout the development process to handle the parsing and storage aspects of GTFS data, focusing on creating a user-friendly and efficient public transportation information tool.