🤖 AI Analysis

Final verdict: SUSPICIOUS

The package GeoDataKit v0.0.4 shows low risks in terms of network, shell execution, and obfuscation, but has a moderate metadata risk due to the new or inactive maintainer and lack of community engagement.

Moderate metadata risk due to new/inactive maintainer
Lack of community engagement

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access to function properly.
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 maintainer seems new or inactive, and the repository lacks community engagement, which raises some concerns but does not strongly indicate malice.

🔬 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

Email domain looks legitimate: univ-orleans.fr

✓ 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 "Gautier Laurent" 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 GeoDataKit

Create a mini-application named 'GeoVisualizer' using the Python package 'GeoDataKit'. This application will serve as a tool for geoscientists to analyze and visualize geological data. Your task is to develop a user-friendly interface where users can upload their geo-spatial datasets (such as CSV files containing latitude, longitude, and other attributes like temperature or mineral content). The application should then perform the following tasks:

1. **Data Importation**: Allow users to import geo-spatial datasets.
2. **Data Cleaning**: Implement basic data cleaning functionalities such as handling missing values and outliers.
3. **Analysis Tools**: Utilize GeoDataKit to provide various analytical tools including statistical summaries, spatial distribution analysis, and anomaly detection.
4. **Visualization Features**: Enable the creation of interactive maps and charts using GeoDataKit’s visualization capabilities. Users should be able to customize these visualizations according to their preferences (e.g., color schemes, markers).
5. **Export Options**: Provide options for exporting the analyzed data and visualizations in formats such as PDF, PNG, or CSV.

The application should also include a feature to save user sessions, allowing them to revisit and modify their work at a later time. Additionally, incorporate a help section that explains how each feature works and how GeoDataKit contributes to the functionality of these features. This project aims to demonstrate the versatility and power of GeoDataKit in real-world applications.