AI Analysis
The package shows no signs of malicious activity or obfuscation. However, it's a stub release from a potentially new and unverified author, raising some concerns about its origin.
- No network calls or shell executions detected.
- Low risk of obfuscation and credential harvesting.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- 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 package is from a potentially new and unverified author with no history, and the git repository is not found.
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://athdgc.github.io/data_paper.htmlBrief PyPI description (486 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
Could not retrieve contributor data from GitHub
GitHub API error: 404
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: enl.uoa.gr>
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Athens Digital Glossa Chronos Research Network" 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 mini-application called 'DiachronicGreekAnalyzer' that leverages the 'athdgc-tools' package to analyze Greek texts across different historical periods. This application should allow users to input a Greek word or phrase and receive detailed information about its usage over time, including frequency, context, and evolution of meaning. Here are the key steps and features your project should include: 1. **Setup**: Install 'athdgc-tools' and any necessary dependencies. 2. **User Interface**: Develop a simple command-line interface (CLI) where users can enter their query. 3. **Data Retrieval**: Use 'athdgc-tools' to fetch relevant data from its database or API for the given query. 4. **Analysis**: Implement functionality within 'athdgc-tools' to analyze the retrieved data according to the specified period (e.g., Classical, Hellenistic, Byzantine). 5. **Visualization**: Display the analysis results in a user-friendly format, such as a timeline showing the word's usage frequency and changes in meaning. 6. **Export Options**: Allow users to export the analysis results as a PDF or CSV file. 7. **Error Handling**: Ensure robust error handling to manage cases where the input word/phrase might not exist in the dataset. 8. **Documentation**: Provide clear documentation on how to use the application and customize it for different research needs. This project will serve as a powerful tool for linguists, historians, and anyone interested in understanding the diachronic development of the Greek language.
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