3DGS

v0.0.1 suspicious
3.0
Low Risk

3DGS standard plugins

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package lacks detailed information and has no specific functionality described, raising concerns about its legitimacy and purpose.

  • Minimal package description with no clear purpose or functionality.
  • No previous version history or development activity visible.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 10.0

Git history flags: Repository created very recently: 4 day(s) ago (2026-06-01T04:07:17Z)

  • Repository created very recently: 4 day(s) ago (2026-06-01T04:07:17Z)
  • Repository has zero stars and zero forks
  • Very few commits: 1 total
  • Single contributor with only 1 commit(s) — possibly throwaway account
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "SceneAPI" 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 3DGS 
Create a 3D Geospatial Viewer Application using the '3DGS' package. This application will allow users to visualize and interact with geospatial data in a three-dimensional environment. Here’s a detailed breakdown of the steps and features for your project:

1. **Project Setup**: Start by setting up a Python virtual environment and installing necessary packages including '3DGS'. Additionally, ensure you have libraries such as 'numpy', 'pandas', and 'matplotlib' installed.
2. **Data Importation**: Develop functionality within the app to import various types of geospatial data files like .shp, .kml, or .geojson. Use '3DGS' to handle the parsing and conversion of these files into a format suitable for 3D visualization.
3. **3D Visualization**: Utilize '3DGS' to render the imported geospatial data in a 3D environment. Allow users to pan, zoom, and rotate the view to explore the data from different angles.
4. **Layer Management**: Implement a feature that allows users to add, remove, and manage layers of data. Each layer could represent different types of geographic information (e.g., terrain, buildings, vegetation).
5. **Annotation Tools**: Integrate tools within the viewer that enable users to annotate specific areas on the map. Users should be able to add notes, labels, or markers to points of interest.
6. **Export Functionality**: Provide an option for users to export their annotated maps as images or 3D models. Ensure that exported files retain all annotations and layers.
7. **User Interface Design**: Design a clean, intuitive UI that makes it easy for users to navigate through the 3D space and manage their data layers.
8. **Documentation & Testing**: Write comprehensive documentation for your application and thoroughly test each feature to ensure smooth operation and user satisfaction.

The '3DGS' package will be crucial in handling the complex geospatial data, providing the core functionality for rendering and manipulating 3D geospatial data. Your goal is to create a versatile tool that can be used by researchers, urban planners, environmental scientists, and more.