aspose-words-foss

v26.5.0 suspicious
4.0
Medium Risk

Lightweight free open-source alternative to Aspose.Words — convert DOCX, DOC, RTF to Markdown, text, and PDF

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, and obfuscation activities, but the metadata risk score is elevated due to the maintainer's novelty and limited package history.

  • New maintainer with limited package history
  • Low risk indicators in network, shell, and obfuscation activities
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external services.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
  • Metadata: The maintainer seems new and has few packages, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4427 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 404 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 4 commits in aspose-words-foss/Aspose.Words-FOSS-for-Python
  • 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository aspose-words-foss/Aspose.Words-FOSS-for-Python appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Aspose" 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 aspose-words-foss 
Develop a document conversion utility called 'DocConverter' using Python and the 'aspose-words-foss' library. This utility will allow users to easily convert their documents from various formats like DOCX, DOC, and RTF into more accessible formats such as Markdown, plain text, and PDF. The application should have a simple command-line interface where users can specify the input file path, desired output format, and output file path.

Key Features:
1. Support for multiple input formats including DOCX, DOC, and RTF.
2. Conversion options to Markdown, plain text, and PDF.
3. Command-line arguments for specifying input file path, output format, and output file path.
4. Error handling for invalid file paths and unsupported formats.
5. Optional feature to include a GUI wrapper around the CLI tool using a library like PyQt or Tkinter for users who prefer graphical interfaces.

Utilization of 'aspose-words-foss':
- Use 'aspose-words-foss' to handle the conversion logic between different file formats. For example, to convert a DOCX file to PDF, you would use the appropriate methods provided by 'aspose-words-foss'.
- Ensure that the utility leverages the lightweight nature of 'aspose-words-foss' for efficient processing and minimal resource usage.
- Implement logging to track conversions and any errors encountered during the process.

💬 Discussion Feed

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