anshitsu

v4.0.0 safe
3.0
Low Risk

A tiny digital photographic utility.

🤖 AI Analysis

Final verdict: SAFE

The package anshitsu v4.0.0 does not exhibit any network or shell risks and appears to be well-maintained based on its testing and coverage badges.

  • No network or shell risks detected.
  • Maintainer has only one package, indicating potential newness or lower activity.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account.

📦 Package Quality Overall: Low (4.2/10)

○ 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://github.com/huideyeren/anshitsu
  • Detailed PyPI description (12677 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

  • 44 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in huideyeren/anshitsu
  • Two distinct contributors found

🔬 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: huideyeren.info

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository huideyeren/anshitsu appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Iosif Takakura" 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 anshitsu 
Create a Python-based photo editing application named 'ShadowToneAdjuster' that leverages the 'anshitsu' package for adjusting shadow tones in digital photographs. This application will serve as a user-friendly tool for photographers and photography enthusiasts who want to enhance their images without the need for complex software. Here’s a detailed outline of what your application should include:

1. **User Interface**: Develop a simple yet intuitive GUI using a library like Tkinter or PyQt5. The interface should allow users to select an image file from their local system and display it within the application.
2. **Image Loading**: Implement functionality to load and display the selected image within the application window.
3. **Shadow Tone Adjustment**: Utilize the 'anshitsu' package to adjust the shadow tones of the loaded image. Provide sliders or input fields for users to control the level of adjustment, allowing them to fine-tune the shadows to their liking.
4. **Preview Functionality**: Ensure that any adjustments made to the image are immediately previewed within the application window, providing real-time feedback to the user.
5. **Save Adjusted Image**: Add a feature that allows users to save the adjusted image to their local system with a new filename or overwrite the original.
6. **Help and Documentation**: Include a brief help section explaining the purpose of the 'anshitsu' package and how it affects the image. Also, provide instructions on how to use the application effectively.
7. **Error Handling**: Implement basic error handling to manage cases where the user might select an unsupported file format or if there are issues with the image loading process.
8. **Optional Features**: Consider adding additional optional features such as batch processing multiple images at once, applying pre-defined shadow tone adjustment presets, or integrating with cloud storage services for saving images.

Your task is to write a complete Python script that integrates these functionalities, making sure to thoroughly document your code and comment on how each part of the application interacts with the 'anshitsu' package.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!