AI Analysis
Final verdict: SUSPICIOUS
The package has low risks in terms of network usage, shell execution, and obfuscation. However, the metadata risk score suggests low maintainer effort and lack of transparency, raising suspicion about potential supply-chain issues.
- Low maintainer effort
- Lack of transparency in metadata
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 execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintainer effort and lack of transparency, which could indicate potential risk.
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 shortAuthor "" 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 Geode-Background
Create a Python-based geographic data visualization tool called 'GeoVisualizer' using the 'Geode-Background' package. This tool will enable users to generate and visualize complex background meshes for geographic data analysis. Hereβs a detailed plan on how to develop this application: 1. **Project Setup**: Initialize a new Python project and install the required packages, including 'Geode-Background'. Ensure all dependencies are properly listed in your project's requirements file. 2. **Data Input Interface**: Develop a user-friendly interface where users can upload geographic data files (e.g., shapefiles, GeoJSON). This feature should support common GIS data formats. 3. **Mesh Generation**: Utilize the 'Geode-Background' package to automatically generate background meshes from the uploaded geographic data. This process should include options for customizing mesh resolution and type based on user preferences. 4. **Visualization Features**: Implement advanced visualization capabilities within the tool. Users should be able to customize color schemes, add labels, and overlay additional layers such as satellite imagery or topographic maps. 5. **Interactive Exploration**: Enable interactive exploration of the generated meshes. Users should be able to zoom, pan, and select specific areas of interest within the map view. 6. **Export Options**: Provide users with the ability to export their visualized maps in various formats, including high-resolution images and interactive web maps. 7. **Documentation and User Guide**: Create comprehensive documentation and a user guide for the 'GeoVisualizer' application. Include tutorials and examples to help users understand how to use the tool effectively. 8. **Testing and Validation**: Conduct thorough testing of the application to ensure it works as expected across different datasets and scenarios. Validate the accuracy of the generated meshes against known geographic data. 9. **Deployment**: Prepare the 'GeoVisualizer' application for deployment. Consider hosting it on a cloud platform or as a desktop application depending on the target audience and use cases. By following these steps, you'll create a powerful yet accessible tool for geographic data visualization, leveraging the robust mesh generation capabilities of the 'Geode-Background' package.