🤖 AI Analysis

Final verdict: SAFE

The package Ambra appears to be a legitimate Python library for 3D visualization with no detected malicious activities. While there is a moderate concern regarding potential obfuscation techniques, the lack of other risky behaviors and low engagement metadata do not strongly suggest malicious intent.

No network or shell risks detected.
Potential obfuscation through pickle.loads usage.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution detected, indicating the package does not execute system commands without user interaction.
Obfuscation: The use of pickle.loads for decoding binary data could indicate obfuscation, but it's also common in legitimate applications.
Credentials: No clear signs of credential harvesting detected.
Metadata: The package shows low author engagement and metadata quality, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (3.8/10)

○ 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 (1921 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

658 type-annotated function signatures detected in source

◈ Medium Multiple Contributors 6.0

Limited contributor diversity

2 unique contributor(s) across 100 commits in ramenguy99/xpg
Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

Optional[Message]: return pickle.loads(raw.data) # type: ignore _dispatch = { Format.BINARY.

✓ 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ramenguy99/xpg appears legitimate

⚠ 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 ambra

Create a web-based medical imaging viewer using the 'ambra' package. This application will allow users to upload DICOM files, view them in 3D, and manipulate the images through various tools provided by the Ambra 3D Viewer API. Here are the steps and features you should include in your project:

1. **Setup Environment**: Ensure you have Python installed and set up a virtual environment. Install necessary packages including 'ambra'.
2. **User Interface Design**: Design a simple yet intuitive user interface where users can interact with their medical images. The UI should include buttons for uploading files, viewing images, and controlling the 3D viewer.
3. **Image Upload Functionality**: Implement functionality for users to upload DICOM files. These files should be validated to ensure they are DICOM compliant before processing.
4. **3D Image Viewing**: Use the 'ambra' package to load and display the uploaded DICOM files in 3D. Ensure that the viewer supports zooming, panning, and rotating functionalities.
5. **Annotation Tools**: Integrate basic annotation tools such as drawing shapes, adding labels, and highlighting specific areas of interest on the 3D images.
6. **Save and Export Options**: Allow users to save their annotations and export the modified images in a format suitable for further analysis or sharing.
7. **Security and Privacy**: Since medical data is sensitive, implement measures to secure the data being uploaded and stored. This includes encrypting data at rest and in transit.
8. **Documentation**: Write comprehensive documentation detailing how to use the application, including setup instructions, usage guidelines, and API references for developers who wish to extend the application.

This project aims to provide medical professionals with a powerful tool for visualizing and analyzing medical images directly from their web browsers, enhancing accessibility and efficiency in healthcare settings.