GenTS

v1.1.2 suspicious
4.0
Medium Risk

A useful tool for post-processing Earth System Model output 'history files' into the time series format.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package GenTS v1.1.2 presents a relatively low risk due to lack of network calls, shell execution, obfuscation, and credential harvesting. However, the incomplete maintainer profile and potential inactivity elevate the metadata risk slightly.

  • Incomplete maintainer profile
  • Potential inactivity of the maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function.
  • Shell: No shell execution detected, indicating the package does not execute external commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has an incomplete profile and appears to be new or inactive, raising some suspicion but not definitive evidence of 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: utexas.edu>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository AgentOxygen/GenTS appears legitimate

⚠ 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 GenTS 
Create a mini-application called 'ClimateDataVisualizer' that leverages the Python package 'GenTS' to process and visualize climate data from Earth System Models. This application will allow users to upload 'history files' containing climate model outputs, process these files using GenTS to convert them into time series data, and then generate visualizations such as line graphs showing temperature trends over time for specific geographic locations.

The application should include the following features:
1. User Interface: Develop a simple web interface where users can upload their 'history files'.
2. File Processing: Utilize GenTS to read and post-process the uploaded files, converting them into a structured time series dataset.
3. Data Visualization: Implement functionality to plot line graphs of temperature trends over time for selected geographic regions. Users should be able to specify the start and end dates, as well as the geographic coordinates.
4. Export Options: Provide options for users to export the processed data and/or the generated visualizations in common formats like CSV, PNG, or PDF.
5. Error Handling: Ensure robust error handling to manage cases where the input file might not be in the correct format or contain unexpected data.
6. Documentation: Include comprehensive documentation on how to use the application, along with instructions on installing any necessary dependencies.

Your task is to design and implement the 'ClimateDataVisualizer', ensuring it effectively demonstrates the capabilities of the GenTS package while providing a user-friendly experience for analyzing climate data.