AI Analysis
The package exhibits low risks across network, shell, obfuscation, and credential fronts. However, the metadata risk score is moderately high due to sparse and potentially unreliable author information, suggesting potential for supply-chain compromise.
- Sparse author information
- Potential new or inactive maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author information is sparse and the maintainer seems to be new or inactive, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (2.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://docs.aspose.com/total/python-net/Detailed PyPI description (14706 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: aspose.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a versatile document manipulation tool using the Aspose.Total for Python via .NET package. This tool will allow users to convert documents between different formats, extract text from various file types, and even merge multiple documents into one. Here are the steps and features you should include in your application: 1. **Project Setup**: Begin by setting up your Python environment and installing the Aspose.Total for Python via .NET package. 2. **User Interface**: Develop a simple GUI using a library like Tkinter for easy interaction. 3. **Conversion Feature**: Implement functionality to convert documents between formats such as PDF to DOCX, DOCX to PDF, XLSX to CSV, etc. 4. **Text Extraction**: Add a feature to extract text from PDFs, DOCX files, and images. 5. **Document Merging**: Allow users to merge multiple documents of the same type (e.g., multiple PDFs into one). 6. **Image Manipulation**: Use the imaging capabilities of Aspose to resize, crop, and rotate images. 7. **3D & CAD Support**: If applicable, explore basic operations on 3D models and CAD drawings. 8. **Output Preview**: Provide a preview of the output before saving it to disk. 9. **Error Handling**: Ensure the application gracefully handles errors and provides user-friendly messages. The Aspose.Total for Python via .NET package will be the backbone of this application, providing all the necessary APIs for document conversion, text extraction, image manipulation, and more. Your task is to integrate these functionalities into a cohesive, user-friendly application.
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