🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe with no indications of malicious activities such as network calls, shell executions, obfuscations, or credential harvesting. The metadata risk is slightly elevated due to the maintainer's single package, but this alone is not enough to classify it as suspicious or malicious.

No network calls
No shell execution
No obfuscation patterns
No credential harvesting
Single package from maintainer

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags are present.

🔬 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: outlook.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository jim-xie-cn/FreeAeon-Fractal appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Jim Xie" 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 FreeAeon-Fractal

Develop a multifractal analysis tool using the Python package 'FreeAeon-Fractal'. This tool will allow users to upload various types of data (such as time series or image files), perform multifractal analysis on them, and visualize the results. The application should have the following key features:

1. **Data Input**: Allow users to upload their own data sets (CSV files for time series, or image files like PNG/JPG). The app should validate the uploaded files and ensure they are compatible with the analysis process.
2. **Multifractal Analysis**: Utilize the 'FreeAeon-Fractal' package to conduct multifractal analysis on the uploaded data. Users should be able to choose different analysis parameters such as the range of scales to analyze and the type of multifractal spectrum to compute (e.g., singularity spectrum).
3. **Result Visualization**: Provide interactive visualizations of the analysis results. For example, plots showing the multifractal spectrum, scaling behavior, etc. These visualizations should be customizable by the user (e.g., color schemes, axis labels).
4. **Export Results**: Allow users to export the analysis results and visualizations as PDF or CSV files for further examination or report creation.
5. **Documentation & Help**: Include a comprehensive help section explaining the concepts behind multifractal analysis, how to use the app effectively, and common pitfalls to avoid.

The main goal of this project is to make multifractal analysis accessible and understandable to researchers and enthusiasts without requiring deep knowledge of fractal mathematics. By leveraging the capabilities of 'FreeAeon-Fractal', the tool aims to simplify the process of conducting multifractal analysis on diverse data types.