🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits signs of potential obfuscation, raising concerns about its true purpose and functionality. Despite having low risks in network calls, shell execution, and credential harvesting, the unusual coding style warrants further investigation.

Obfuscation risk of 7/10
Single package from the maintainer

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external communication.
Shell: No shell execution patterns detected, indicating no immediate signs of malicious shell command execution.
Obfuscation: The code uses complex and unusual methods to import and reference types, which is suspicious and may indicate an attempt to obfuscate the code's functionality.
Credentials: No clear patterns indicative of credential harvesting were found in the provided code snippet.
Metadata: The maintainer has only one package on PyPI, which could indicate a new or less active account.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

f"types.CodeType: {__import__('types').CodeType} " f"[{getattr(__import__('types')
" f"[{getattr(__import__('types').CodeType, '__module__', '?')}]\n" f"builtin
f"builtins.code: {getattr(__import__('builtins'), 'code', None)}\n" f"compat_code_ctor_calls

✓ 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

Repository SHDShim/PeakPo appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "S.-H. Dan Shim" 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 PeakPo

Create a Python-based desktop application named 'PressureExplorer' that leverages the 'PeakPo' package to analyze X-ray diffraction data from high-pressure experiments. This application will serve as a user-friendly tool for scientists and researchers working in high-pressure science. The application should have the following core functionalities:

1. **Data Import**: Allow users to import X-ray diffraction data in common formats such as CSV, TXT, or proprietary formats directly supported by 'PeakPo'.
2. **Data Visualization**: Implement real-time visualization of imported data using Matplotlib or a similar library, showing the intensity of diffraction peaks against the angle of diffraction.
3. **Peak Analysis**: Utilize 'PeakPo' to automatically detect and label significant peaks in the diffraction pattern. Users should be able to manually adjust peak detection parameters if needed.
4. **Pressure Estimation**: Based on the detected peaks, estimate the pressure conditions under which the sample was analyzed using the calibration curves provided by 'PeakPo'. Display these estimated pressures alongside the diffraction pattern.
5. **Report Generation**: Enable users to generate comprehensive reports summarizing their analysis, including visual plots, peak details, and estimated pressures. These reports should be exportable as PDF files.
6. **User Interface**: Design a clean and intuitive graphical user interface using PyQt or Tkinter, ensuring ease of use for non-technical users.
7. **Help and Documentation**: Provide extensive help documentation within the application, detailing how to use each feature and explaining the scientific principles behind the analysis methods employed by 'PeakPo'.

In your development process, ensure that you utilize 'PeakPo' effectively to perform the core analyses required for high-pressure science research. Additionally, consider integrating advanced features like batch processing of multiple datasets, support for different types of materials, and customizable output formats to enhance the utility of the application.