EddyCovTools

v0.0.1 suspicious
4.0
Medium Risk

Python tools to analyze and filter high sampling rate Sonic Anemometer and Thermohygrometer measurements. A clean way to build a database directly from station files and look at your data. Convert Campbell TOB3 file. Despiking method. Rotation-to-streamline methods.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network calls, shell execution, and code obfuscation. However, the metadata risk score of 6 suggests that the package may be newly created with little maintainer history, which raises concerns about its authenticity and potential supply-chain compromise.

  • Low risk in network calls, shell execution, and code obfuscation.
  • High metadata risk due to new package creation and limited maintainer engagement.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external API access to function.
  • Shell: No shell execution patterns detected, indicating no direct system command execution by the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of being newly created with limited maintainer history and engagement, raising suspicion.

🔬 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: gmail.com>

✓ 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 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 EddyCovTools 
Create a mini-application named 'EddyAnalyzer' using the Python package 'EddyCovTools'. This tool will serve as a comprehensive analysis suite for researchers working with high-frequency meteorological data collected from Sonic Anemometers and Thermohygrometers. The application should include the following functionalities:

1. **Data Importation**: Allow users to upload Campbell Scientific TOB3 formatted files. Utilize EddyCovTools to seamlessly convert these files into a more accessible format for further processing.
2. **Despiking Tool**: Implement a despiking feature that cleans the imported data by removing spikes or outliers that could distort the analysis. This function should leverage EddyCovTools' built-in despiking methods to ensure accuracy.
3. **Rotation to Streamline Transformation**: Integrate a transformation module that converts wind velocity components from a coordinate system aligned with the measurement instrument to one aligned with the mean flow direction. This will enable more accurate eddy covariance calculations. Use EddyCovTools' rotation-to-streamline methods for this purpose.
4. **Database Builder**: Develop a feature that automatically builds a database from the processed data. This database should be structured efficiently to support advanced querying capabilities, allowing users to easily retrieve specific subsets of their data for analysis.
5. **Visualization Module**: Incorporate a visualization component that provides graphical representations of the processed data. Users should be able to visualize trends, anomalies, and other key metrics over time.
6. **Report Generation**: Enable users to generate comprehensive reports summarizing their data analysis. These reports should include statistical summaries, visualizations, and any relevant metadata.

For each feature, make sure to utilize the core functionalities provided by EddyCovTools to ensure the highest quality data processing and analysis. Additionally, consider adding user-friendly interfaces for data input/output and configuration settings to enhance usability.