🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe with low risks associated. It does not make any network calls or execute shell commands.

Low network and shell risk
Metadata quality could be improved

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires network functionality.
Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized command execution.
Metadata: The package shows signs of low maintenance and poor metadata quality, but there are no direct indicators of malicious intent.

🔬 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: gmail.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://aplpy.github.io

✓ 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 APLpy

Your task is to develop a simple yet powerful web-based astronomical image viewer using the Python package 'APLpy'. This tool will allow users to upload FITS files (commonly used in astronomy for storing images and data), visualize them, and perform basic analysis. The application should include the following features:

1. **User Interface**: Design a clean, intuitive interface where users can upload their FITS files. Ensure the UI supports navigation through multiple images if a file contains more than one.
2. **Image Visualization**: Utilize APLpy to display the uploaded FITS images. Implement features such as zooming, panning, and toggling between different color scales (e.g., grayscale, infrared).
3. **Basic Analysis Tools**: Integrate tools that allow users to measure distances and angles on the displayed images. Also, provide functionality to calculate and display the average brightness of selected regions.
4. **Save & Share**: Allow users to save the current view of the image (with all applied settings) as a PNG file. Additionally, implement a feature to generate a URL link that allows others to view the same image configuration without needing to upload the file again.
5. **Documentation & Help**: Include a brief tutorial within the application explaining how to use the various features, especially for those who might not be familiar with FITS files or astronomical imaging.

To achieve these goals, you'll primarily rely on APLpy for handling and displaying FITS files. Explore its documentation to find functions and methods that facilitate image visualization and manipulation. Consider using Flask or Django for the web framework, and integrate APLpy within these frameworks to create a seamless user experience.