amfora

v1.0.1 suspicious
4.0
Medium Risk

Automated Macroscopic Fabric and Orientation Analysis for ceramic sherds

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal technical risks but raises concerns due to metadata issues such as a short author name, a new maintainer account, and an inactive git repository.

  • Short author name
  • New maintainer account
  • Inactive git repository
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communications.
  • Shell: No shell execution detected, reducing the likelihood of executing arbitrary commands.
  • Obfuscation: No obfuscation patterns detected, suggesting low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some red flags including a short author name, a new maintainer account, and an inactive git repository.

📦 Package Quality Overall: Medium (5.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

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

Some documentation present

  • Detailed PyPI description (5896 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

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

Limited contributor diversity

  • 2 unique contributor(s) across 31 commits in aleciaco/AMFOrA_public
  • 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 score 3.0

Suspicious email domain flags: Very short email domain: uw.edu>

  • Very short email domain: uw.edu>
✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 amfora 
Create a Python-based mini-application called 'CeramicAnalyzer' which leverages the 'amfora' package to analyze ceramic sherds. The application should provide an interactive interface where users can input data about ceramic fragments and receive detailed reports on their macroscopic fabric and orientation analysis. Here’s a detailed breakdown of the application’s functionalities:

1. **Data Input**: Users should be able to input various attributes of a ceramic sherd, such as dimensions, texture, and material composition.
2. **Analysis**: Utilize the 'amfora' package to perform automated analysis on the provided data, focusing on fabric and orientation characteristics.
3. **Report Generation**: Generate comprehensive reports summarizing the findings from the analysis. These reports should include visualizations and statistical summaries.
4. **User Interface**: Develop a user-friendly GUI using a library like Tkinter or PyQt to facilitate easy interaction with the application.
5. **Saving and Loading Data**: Implement functionality to save analyzed data and load previously saved data for review or further analysis.
6. **Integration with External Databases**: Allow users to export analysis results to external databases or file formats like CSV or JSON for further processing or archival purposes.
7. **Documentation and Help**: Provide detailed documentation within the application to guide users through each feature and process.

Your task is to outline the core components of this application, including the integration points with the 'amfora' package, and suggest any additional features that could enhance its utility for archaeologists and researchers.

💬 Discussion Feed

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