QL1D

v0.2.0 safe
4.0
Medium Risk

(No description)

🤖 AI Analysis

Final verdict: SAFE

The package appears to be primarily focused on numerical computation with low risk indicators for common security issues. However, its metadata suggests it may not be well-maintained.

  • Low risk in network, shell, obfuscation, and credential aspects.
  • Metadata indicates potential lack of maintenance.
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 direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The package shows several signs of low maintenance and potential lack of trustworthiness.

🔬 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

No author email provided

Suspicious Page Links

All external links appear legitimate

Git Repository History

No GitHub repository linked

  • No GitHub repository link found
Maintainer History score 8.0

4 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)
  • Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with QL1D
Create a quantum mechanics educational tool using the Python package 'QL1D'. This tool will allow users to input parameters for one-dimensional quantum systems and visualize the resulting wave functions and energy levels. Here are the steps and features you need to implement:

1. **User Interface**: Design a simple and intuitive user interface where users can enter parameters such as potential function type (e.g., infinite square well, harmonic oscillator), boundary conditions, and initial wave function.
2. **Parameter Validation**: Implement validation checks to ensure that the user inputs are within acceptable ranges and formats.
3. **Computation Engine**: Utilize the QL1D package to solve the one-dimensional Schrödinger equation based on the user inputs. Ensure that the computation engine can handle different types of potentials and boundary conditions efficiently.
4. **Visualization Module**: Develop a module that visualizes the computed wave functions and energy levels. Users should be able to see real-time changes in these plots as they adjust parameters.
5. **Documentation and Help**: Include comprehensive documentation explaining each feature of the tool and how QL1D is used under the hood. Also, provide examples of common quantum systems and their corresponding parameters.
6. **Testing and Debugging**: Thoroughly test the application with various scenarios to ensure accuracy and stability. Debug any issues that arise during testing.
7. **Deployment**: Package the application into an executable file or web-based application so it can be easily shared and used by others interested in quantum mechanics education.

By following these steps, you'll create a powerful yet accessible tool for learning about one-dimensional quantum systems.