🤖 AI Analysis

Final verdict: SAFE

The package shows low risk across all assessed categories, with no indications of malicious activities. However, the maintainer's limited history with PyPI slightly increases the overall risk score.

No network calls detected.
No shell execution patterns found.
No obfuscation or credential harvesting detected.
Maintainer has only one package.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no direct system command risks.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package, which might indicate a new or less active account.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Brief PyPI description (353 chars)

○ Low Contributing Guide 4.0

No contributing guide or governance files found

Separate author ("Ernesto Arredondo Martinez") and maintainer ("Port de Barcelona") listed

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

✦ High Multiple Contributors 8.0

Active multi-contributor project

3 unique contributor(s) across 100 commits in portdebarcelona/PLANOL-generic_python_packages
Small but multi-author team (3–4 contributors)

🔬 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

Repository portdebarcelona/PLANOL-generic_python_packages appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Ernesto Arredondo Martinez" 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 apb-spatial-utils

Create a Python-based geospatial utility app called 'GeoAnalyzer' that leverages the 'apb-spatial-utils' package to perform various spatial analysis tasks. GeoAnalyzer should allow users to upload a shapefile or a GeoJSON file, visualize it on a map, calculate areas of interest, find distances between points, and perform basic spatial operations such as buffering and intersection. Additionally, the app should support exporting results back into a GeoJSON format for further use.

Step 1: Set up the environment
- Install necessary packages including 'apb-spatial-utils', 'geopandas', 'folium', and 'shapely'.

Step 2: Develop the user interface
- Create a simple web interface using Flask where users can upload their spatial data files.

Step 3: Implement core functionalities
- Use 'apb-spatial-utils' to read and manipulate the uploaded spatial data.
- Allow users to select specific regions from the map and calculate area and perimeter.
- Provide an option to add new points and calculate distances from existing features.
- Enable users to apply spatial operations like buffering around selected areas and finding intersections between different layers.

Step 4: Visualize the data
- Integrate Folium for displaying the uploaded and processed data on an interactive map.

Step 5: Export functionality
- Add a feature to export the modified data back into a GeoJSON format.

Suggested Features:
- User authentication and permission levels to control access to spatial data.
- Advanced filtering options based on attribute values.
- Support for multiple input formats including KML and GPX.
- Integration with external APIs for real-time weather or demographic data overlays.

This project will showcase the versatility of 'apb-spatial-utils' in handling complex geospatial tasks and provide a practical tool for researchers, urban planners, and GIS professionals.