AI Analysis
Final verdict: SAFE
The package poses minimal risk as it lacks any signs of malicious activity, such as obfuscation, shell execution, or credential harvesting. The moderate metadata risk due to the maintainer's limited package history does not suggest a supply-chain attack.
- No malicious patterns detected
- Moderate metadata risk due to maintainer's limited package history
Per-check LLM notes
- Network: The package makes network calls to fetch data, which is likely part of its intended functionality.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags are present.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
data. """ r = requests.get(self.file_path, **readkwargs) data = r.json()
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: ugent.be
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Thomas Vergauwen" 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 MetObs-toolkit
Create a mini-application called 'WeatherInsight' using the Python package 'MetObs-toolkit'. This application will serve as a tool for meteorologists and environmental scientists to analyze and visualize weather observation data. Here’s a detailed breakdown of what the application should include: 1. **Data Collection**: Integrate the MetObs-toolkit to fetch real-time weather data from various sources such as weather stations, satellites, and buoys. Ensure that the application supports multiple data formats including CSV, NetCDF, and HDF5. 2. **Data Preprocessing**: Implement functionalities within the application to clean and preprocess the collected data. Use MetObs-toolkit functions to handle missing values, outliers, and standardize different data types into a uniform format suitable for analysis. 3. **Analysis Tools**: Develop a suite of analytical tools using MetObs-toolkit features. These should include but not limited to calculating temperature trends over time, precipitation frequency, wind direction changes, and atmospheric pressure variations. Each analysis tool should provide insightful visualizations to help users understand the data better. 4. **Visualization Module**: Incorporate MetObs-toolkit’s visualization capabilities to generate graphs, charts, and maps based on the analyzed data. Users should be able to customize these visualizations according to their preferences. 5. **Report Generation**: Enable users to create comprehensive reports based on their analysis. These reports should include textual descriptions, statistical summaries, and the generated visualizations. Users should have the option to export these reports in PDF or HTML format. 6. **User Interface**: Design a user-friendly interface using a framework like Tkinter or PyQt. The UI should allow users to easily navigate through different sections of the application, select data sources, run analyses, and generate reports. 7. **Documentation and Help**: Provide comprehensive documentation and a help section within the application to guide users through its functionalities. Include examples and best practices for using each feature effectively. The goal of 'WeatherInsight' is to streamline the process of analyzing and interpreting meteorological data, making it accessible and understandable for both novice and experienced users alike.