ad-hoc-diffractometer

v0.11.0 suspicious
5.0
Medium Risk

Describe any multi-circle diffractometer geometry and perform X-ray/neutron crystallography calculations.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate obfuscation and signs of potential low activity with a new maintainer, which raises concerns about its legitimacy and purpose.

  • moderate obfuscation risk
  • potential low activity and new maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution detected, indicating no immediate risk of command injection or privilege escalation.
  • Obfuscation: The code pattern suggests an attempt to obfuscate the import and execution of 'make_geometry' function, which could be used to evade simple static analysis.
  • Credentials: No clear patterns indicating credential harvesting were found in the provided snippet.
  • Metadata: The package shows signs of potential low activity and a new maintainer, raising some suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • undtrip", lambda: __import__( "ad_hoc_diffractometer", fromlist=["make_geometry"] ).make_geometry("psic"), lambda o, r: (
✓ 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 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 ad-hoc-diffractometer 
Develop a user-friendly mini-application using the 'ad-hoc-diffractometer' Python package to simulate and analyze X-ray diffraction patterns for various crystal structures. This application should enable users to input the parameters of their crystal structure, such as lattice constants and angles, and then generate corresponding diffraction patterns based on these inputs. Additionally, the app should allow users to adjust experimental conditions like the wavelength of the incident radiation and the angle of incidence to observe how changes affect the diffraction pattern. Here’s a detailed breakdown of the project steps and features:

1. **Setup**: Begin by installing the 'ad-hoc-diffractometer' package and setting up your development environment with Python.
2. **User Interface**: Create a simple GUI using a library like Tkinter or PyQt to facilitate easy data entry and visualization.
3. **Data Input**: Implement functionality to accept user inputs for crystal lattice parameters and experimental conditions.
4. **Calculation Engine**: Utilize 'ad-hoc-diffractometer' to calculate diffraction intensities based on the provided inputs. Ensure the package is correctly integrated to handle multi-circle diffractometer geometries.
5. **Visualization**: Display the calculated diffraction patterns in real-time within the application. Consider adding options to export these patterns as images or data files.
6. **Advanced Features** (Optional): Include features such as saving/loading previous experiments, comparing multiple diffraction patterns side-by-side, or even basic fitting routines to determine crystal parameters from experimental data.
7. **Documentation**: Provide comprehensive documentation detailing how to use the application, including examples and explanations of the underlying physics.
8. **Testing & Validation**: Validate the accuracy of your application by comparing its output against known datasets or theoretical predictions.
9. **Deployment**: Prepare your application for deployment, ensuring it runs smoothly across different operating systems.

This project not only showcases the power of 'ad-hoc-diffractometer' but also serves as an educational tool for understanding X-ray/neutron diffraction techniques.