SearchLibrium

v0.0.90 suspicious
4.0
Medium Risk

A Python package for econometric models driven by search

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package SearchLibrium v0.0.90 exhibits low direct risks but raises concerns due to the low activity of the repository and the maintainer's limited experience or involvement with other packages.

  • Low repository activity
  • Few packages maintained by the author
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 immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository has low activity and the maintainer has few packages, which could indicate a less experienced or potentially suspicious author.

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: qut.edu.au>

βœ“ 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 2.0

1 maintainer concern(s) found

  • Author "Alexander Paz Prithvi Beeramole, Robert Burdett" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with SearchLibrium
Your task is to develop a web-based application using Python and the 'SearchLibrium' package. This application will serve as a tool for economists and financial analysts to perform econometric analyses based on search-driven data. The goal is to provide users with an intuitive interface to input parameters and receive detailed econometric model outputs. Here’s a detailed breakdown of what your application should accomplish:

1. **User Interface**: Design a simple yet user-friendly web interface where users can input various parameters related to their economic or financial datasets. These inputs could include time series data, search terms, and other relevant econometric variables.
2. **Data Processing**: Implement functionality within your application to process the user-input data using the 'SearchLibrium' package. This includes cleaning the data, applying appropriate econometric models, and generating search-driven insights.
3. **Visualization**: Create visual representations of the results, such as graphs and charts, to help users better understand the outcomes of their analysis. Ensure these visualizations are dynamic and responsive to different types of data inputs.
4. **Report Generation**: Allow users to generate detailed reports from their analysis, which can be downloaded in PDF or Excel formats. These reports should include key findings, statistical significance, and any other relevant information derived from the econometric models.
5. **Integration with External Data Sources**: If possible, integrate the ability for users to directly import data from external sources (e.g., CSV files, online databases) into the application, streamlining the data entry process.
6. **Customization Options**: Provide options for users to customize their analysis according to specific needs, such as choosing different econometric models offered by 'SearchLibrium', adjusting parameters, and specifying output preferences.
7. **Security and Privacy**: Ensure all user data is handled securely and in compliance with privacy laws. Implement measures to protect sensitive information and ensure data confidentiality.
8. **Documentation and Help Resources**: Include comprehensive documentation and a FAQ section within the application to assist users in understanding how to use the tool effectively.

Utilize the 'SearchLibrium' package throughout the development process to leverage its advanced econometric modeling capabilities. Your final product should not only demonstrate proficiency in utilizing 'SearchLibrium' but also showcase innovative approaches to integrating econometric analysis into a practical, user-centric application.