aps-viewer-sdk

v0.1.4 suspicious
4.0
Medium Risk

Lightweight Python helper to render APS models in the browser with built-in visualization plugins.

⚠ Tarball exceeded 25 MB — source code analysis was limited to package metadata only.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some low-effort signs and lacks detailed maintainer information, which raises minor suspicion. However, there are no indications of direct malicious activities.

  • Metadata risk due to lack of maintainer details
  • Low-effort package presentation
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
  • 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 and lacks maintainer details, raising minor suspicion but not strong evidence of malice.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (9255 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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

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 aps-viewer-sdk 
Create a web-based application using Python and JavaScript that allows users to visualize 3D models stored in APS format directly within their web browsers. This application will serve as a powerful tool for engineers, designers, and researchers who need to quickly view and manipulate complex 3D models without requiring heavy desktop software installations. Utilize the 'aps-viewer-sdk' package to handle the rendering of these models and incorporate several interactive features to enhance user experience.

### Core Features:
1. **Model Upload**: Users should be able to upload their APS model files through a simple file input interface.
2. **Real-time Rendering**: Once uploaded, the APS model should be rendered in real-time within the web page using the 'aps-viewer-sdk'.
3. **Interactive Controls**: Implement controls such as zoom, rotate, and pan to allow users to explore the model from different angles and distances.
4. **Customizable Views**: Provide options for users to switch between various predefined views or set up custom views based on their needs.
5. **Plugin Support**: Integrate built-in visualization plugins provided by the 'aps-viewer-sdk' to highlight specific parts of the model or apply different visual effects.
6. **User Interface**: Design an intuitive and responsive UI that guides users through the process of uploading, viewing, and interacting with the models.

### Implementation Steps:
1. Set up a basic Flask web server to host the application.
2. Use HTML/CSS/JavaScript to create the front-end layout and functionality for file uploads and interactive controls.
3. Integrate the 'aps-viewer-sdk' into your backend to handle the rendering logic. Ensure that the SDK is properly installed via pip and any necessary configurations are made.
4. Develop the real-time rendering function where the uploaded APS model is processed and displayed using the SDK's capabilities.
5. Implement interactive controls using JavaScript and bind them to the viewer's API exposed by the SDK.
6. Add support for customizable views by allowing users to save and load different camera positions and orientations.
7. Test the application thoroughly to ensure smooth operation across different devices and browsers, focusing on performance optimization and error handling.
8. Deploy the final version of the application to a public hosting service like Heroku or AWS to make it accessible online.

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