🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activities such as network calls, shell execution, or credential harvesting. The metadata risk is slightly elevated due to the lack of a GitHub repository and the package being new, but overall, it appears safe.

No network calls or shell execution detected.
Low risk of obfuscation or credential harvesting.
Metadata risk due to lack of a GitHub repository.

Per-check LLM notes

Network: No network calls detected, which is normal for an image upscaling tool that doesn't require external services.
Shell: No shell execution detected, which is expected for a legitimate Python package.
Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating no immediate risk of secret theft.
Metadata: The package is new and lacks a GitHub repository, but there are no clear signs of typosquatting or suspicious activity.

📦 Package Quality Overall: Low (2.4/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://pypi.org/project/ai-image-upscaler/
Brief PyPI description (342 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 4.0

2 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "AI Image Upscaler" 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 ai-image-upscaler

Create a desktop application using Python that allows users to upscale their low-resolution images to high-resolution ones using the 'ai-image-upscaler' package. This application should have a user-friendly graphical interface built with Tkinter or PyQt. Users should be able to select one or multiple image files from their local system, and upon clicking an 'Upscale' button, the application should process these images using the ai-image-upscaler package. Once processing is complete, the upscaled images should be saved to a specified directory, and the application should display the original and upscaled images side by side for comparison.

Additional features to consider implementing:
- A progress bar to show the status of the upscaling process.
- An option to choose between different upscaling models provided by the ai-image-upscaler package.
- A preview pane that shows the upscaled version of the selected image before saving it.
- Error handling for cases where the user inputs invalid file types or paths.
- An option to automatically open the output directory after processing.

The 'ai-image-upscaler' package will be used primarily to handle the upscaling of images. Ensure that you install the package via pip and import its necessary modules to integrate into your application. Pay special attention to the documentation provided by the package to understand how to load and upscale images effectively.