🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risks across all categories and does not indicate any malicious activities or supply-chain attacks.

No network calls or shell executions detected.
Metadata quality could be improved but does not suggest malicious intent.

Per-check LLM notes

Network: No network calls detected, which is normal for a library focused on geometry and mesh processing.
Shell: No shell execution patterns detected, consistent with a benign package purpose.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some low-effort signs but lacks clear indicators of 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: geode-solutions.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

Author name is missing or very short
Author "" 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 OpenGeode-IO

Create a geospatial data processing mini-application using the 'OpenGeode-IO' Python package. This application will serve as a tool for importing, exporting, and visualizing geospatial datasets commonly used in geographic information systems (GIS). The goal is to provide a simple yet powerful interface for users to manipulate and analyze their geospatial data.

**Application Features:**
1. **Data Import:** Allow users to import geospatial data from various formats supported by 'OpenGeode-IO', such as GeoJSON, ESRI Shapefile, and GML.
2. **Data Export:** Enable users to export processed data into different formats, including but not limited to GeoJSON and ESRI Shapefile.
3. **Data Visualization:** Integrate a basic visualization component that displays imported geospatial data on a map. Users should be able to see points, lines, and polygons on the map.
4. **Basic Data Manipulation:** Implement functionalities to filter, transform, and aggregate geospatial data. For example, users could filter data based on attribute values or spatial relationships.
5. **User Interface:** Develop a user-friendly graphical interface using a library like Tkinter or PyQt, allowing users to interact with the application easily.
6. **Documentation:** Provide comprehensive documentation detailing how to use each feature of the application.

**Utilization of 'OpenGeode-IO':**
- Use 'OpenGeode-IO' for reading and writing geospatial data files. Ensure that the application supports at least three different file formats for both importing and exporting.
- Leverage 'OpenGeode-IO' to handle complex geospatial operations efficiently.
- Explore advanced features of 'OpenGeode-IO' to enhance the functionality of your application.

**Steps to Create the Application:**
1. Set up a Python environment and install necessary packages including 'OpenGeode-IO'.
2. Design the application architecture focusing on separation of concerns between data handling, UI, and business logic.
3. Implement the data import/export functionalities, ensuring robust error handling for unsupported file types.
4. Develop the data manipulation capabilities as outlined in the features section.
5. Create a simple map visualization using a library like Matplotlib or Plotly to display geospatial data.
6. Build a user-friendly GUI that allows users to interact with all the features.
7. Test the application thoroughly with various geospatial datasets to ensure reliability and accuracy.
8. Write detailed documentation covering installation, configuration, and usage of the application.