anipics

v2.0.0 safe
4.0
Medium Risk

Simple module to get anime pictures

🤖 AI Analysis

Final verdict: SAFE

The package anipics v2.0.0 shows minimal signs of malicious activity, with low risks across all categories except shell and metadata. These minor concerns do not strongly indicate a supply-chain attack.

  • Low obfuscation and credential risks
  • Concerns about subprocess usage and maintainer history warrant further attention
Per-check LLM notes
  • Network: The use of httpx for network calls is common and not inherently suspicious.
  • Shell: Subprocess calls to run tests can be legitimate but may also indicate execution of arbitrary commands, warranting further investigation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: Low risk due to lack of suspicious flags, but concerns about maintainer history indicate potential low effort or inactive account.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

  • Test runner config found: pyproject.toml
  • 5 test file(s) detected (e.g. live_test.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3269 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

  • 34 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 18 commits in D4n13l3k00/anipics
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • try: with httpx.Client(timeout=timeout, transport=transport) as client:
  • try: async with httpx.AsyncClient( timeout=timeout, transport=transport
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • tr]) -> None: completed = subprocess.run(command, check=False) if completed.returncode: r
  • in() -> None: completed = subprocess.run( [sys.executable, "-m", "pytest", "-m", "live", "tes
  • in() -> None: completed = subprocess.run( [sys.executable, "-m", "pytest", "-m", "not live",
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: yandex.ru>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository D4n13l3k00/anipics 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 anipics 
Create a fully-functional mini-application called 'AnimeWallpaper' using the Python package 'anipics'. This app will allow users to browse through various anime-themed wallpapers and select their favorite ones to set as their desktop background or save them locally. Here's a detailed step-by-step guide on how to build this application:

1. **Setup**: Begin by setting up your development environment. Ensure you have Python installed, then install the 'anipics' package via pip.
2. **Application Structure**: Design the basic structure of your application. It should include a main window where users can see a grid of anime pictures fetched from the 'anipics' package.
3. **Fetching Images**: Use the 'anipics' package to fetch images. Implement a function that periodically updates the image grid with new anime pictures.
4. **User Interaction**: Add functionality for users to interact with the images. Users should be able to click on an image to view it in full size, and there should be options to download the image or set it as a wallpaper.
5. **Wallpaper Setting**: Integrate a feature that allows users to set the selected image as their desktop background. Note that this feature may require different implementations based on the operating system (Windows, macOS, Linux).
6. **Image Saving**: Provide an option for users to save the selected images to their local storage.
7. **User Preferences**: Allow users to customize their experience by setting preferences such as image category (e.g., characters, scenes), resolution, and refresh rate.
8. **Testing & Optimization**: Test your application thoroughly to ensure all features work as expected. Optimize the user interface and performance for a smooth experience.
9. **Documentation**: Write clear documentation explaining how to install and use the application, including any dependencies and setup instructions.
10. **Deployment**: Prepare your application for deployment. Consider packaging it as a standalone executable or providing installation scripts for different platforms.

This project aims to provide a fun and engaging way for anime fans to discover new wallpapers and enhance their computing experience.

💬 Discussion Feed

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