AI Analysis
The package presents minimal risks based on the analysis notes provided. It has no detectable network, shell, or obfuscation risks, and there are no signs of credential harvesting. The incomplete metadata is noted but does not strongly suggest malicious intent.
- Low network and shell execution risks
- Incomplete author information
Per-check LLM notes
- Network: No network calls detected, which is not unusual and does not indicate malicious activity unless the package requires internet access to function properly.
- Shell: No shell execution patterns detected, indicating low risk for executing arbitrary commands on the host system.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author's information is incomplete, which raises some concern but does not necessarily indicate malicious intent.
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: geode-solutions.com>
All external links appear legitimate
Repository Geode-solutions/OpenGeodeWeb-Viewer appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to develop a web-based mini-application using Python and the 'OpenGeodeWeb-Viewer' package. This application will serve as a visualization tool for geospatial data, allowing users to explore and analyze geographic information interactively. The app should have the following functionalities: 1. **User Interface**: Create a clean, user-friendly interface where users can upload their geospatial datasets (in formats supported by OpenGeode). 2. **Data Visualization**: Utilize 'OpenGeodeWeb-Viewer' to render uploaded datasets on a map. Ensure that different types of geospatial data (points, lines, polygons) are accurately represented. 3. **Interactive Features**: Implement zooming, panning, and layer control to allow users to focus on specific areas or layers of interest. 4. **Analysis Tools**: Provide basic analysis tools such as distance measurement between two points, area calculation for polygons, and route finding between multiple points. 5. **Customization Options**: Allow users to customize the appearance of the map, including changing basemaps, adjusting colors, and adding custom labels or icons. 6. **Export Functionality**: Enable users to export the current view or selected layers as images or PDFs for reporting purposes. To achieve these objectives, you will need to leverage 'OpenGeodeWeb-Viewer' for its advanced geospatial visualization capabilities. The package should be integrated into your Flask or Django backend to handle data processing and rendering. Additionally, consider using JavaScript libraries like Leaflet or OpenLayers for frontend interactivity, ensuring seamless integration with 'OpenGeodeWeb-Viewer'. This project aims to demonstrate the power of 'OpenGeodeWeb-Viewer' in creating robust, interactive geospatial applications while providing a practical tool for users to visualize and analyze geographic data.