🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity and its primary function aligns with the description provided. The metadata risk is slightly elevated due to the maintainer's limited history, but this alone does not suggest a supply-chain attack.

No network or shell risks detected
Low obfuscation and credential risks
Maintainer has only one package

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell executions detected, which is expected unless the package requires system-level operations.
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 could indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

1 test file(s) detected (e.g. test_osgeo_utils.py)

◈ Medium Documentation 5.0

Some documentation present

Brief PyPI description (448 chars)

○ Low Contributing Guide 4.0

No contributing guide or governance files found

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

◈ Medium Type Annotations 5.0

Partial type annotation coverage

3 type-annotated function signatures (partial)

✦ 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-extra-osgeo-utils

Create a Python-based geographic data processing tool named 'GeoDataProcessor' that leverages the 'apb-extra-osgeo-utils' package to handle and manipulate spatial data efficiently. This tool will serve as a versatile utility for users who need to perform basic GIS operations such as reading, writing, transforming, and analyzing geospatial datasets.

### Project Scope:
- **Reading Geospatial Data:** The tool should be able to read various geospatial formats such as GeoTIFF, Shapefile, and GeoJSON using the 'apb-extra-osgeo-utils' package.
- **Writing Geospatial Data:** Users should be able to write processed data back into different supported formats.
- **Transforming Coordinate Systems:** Implement functionality to reproject data from one coordinate system to another.
- **Basic Analysis:** Provide basic analysis tools like calculating area, perimeter, and buffer zones around geometries.
- **User Interface:** Develop a simple command-line interface (CLI) for easy interaction with the tool.

### Detailed Steps:
1. **Setup Environment:** Begin by setting up a Python virtual environment and installing the 'apb-extra-osgeo-utils' package along with any other necessary dependencies.
2. **Reading Data:** Use 'apb-extra-osgeo-utils' functions to load data from a specified file path and format. Ensure the tool supports multiple input formats.
3. **Processing Data:** Implement functions to process the loaded data according to user commands. For example, users could request the tool to calculate the area of all polygons within a shapefile.
4. **Writing Data:** After processing, allow users to save the modified dataset into a different format if needed. Ensure the output is correctly formatted and properly referenced.
5. **Coordinate System Transformation:** Add functionality to transform datasets between different projections. This includes handling EPSG codes and custom projections.
6. **Analysis Tools:** Integrate basic analytical tools such as buffer creation, distance calculation, and attribute queries.
7. **CLI Development:** Design a user-friendly CLI where users can input commands to specify actions such as loading data, performing transformations, running analyses, and saving outputs.
8. **Testing and Documentation:** Thoroughly test the application with various datasets and document the codebase and usage instructions clearly.

### Example Usage Scenario:
A user wants to convert a shapefile from WGS84 to UTM Zone 33N, calculate the area of each polygon within it, and then export the result as a GeoJSON file. They would use the GeoDataProcessor tool via the CLI, specifying the input file, desired output file, and transformation parameters.

This project aims to provide a practical and efficient way for GIS professionals and enthusiasts to work with geospatial data directly from the command line, utilizing the powerful capabilities of the 'apb-extra-osgeo-utils' package.