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: gmail.com
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 "Omprakash Seresta" 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 3pc-lamfail
Create a fully-functional mini-application called 'LaminateAnalyzer' that leverages the capabilities of the '3pc-lamfail' Python package for ply-wise stress, strain, and failure analysis of anisotropic laminates. This application should serve as a user-friendly tool for engineers and material scientists to analyze composite laminate structures. Here are the key steps and features for your project: 1. **User Interface**: Develop a simple and intuitive command-line interface (CLI) or a basic graphical user interface (GUI) using Tkinter or similar Python libraries. The interface should allow users to input necessary parameters such as laminate stacking sequence, material properties, and loading conditions. 2. **Data Input**: Implement functionality to accept user inputs for laminate properties including ply thickness, orientation angles, and material properties like Youngβs modulus, Poissonβs ratio, and shear modulus. 3. **Analysis Engine**: Utilize the '3pc-lamfail' package to perform ply-wise stress and strain analysis under different loading conditions (e.g., tension, compression, shear). Ensure that the application can handle both static and cyclic load cases. 4. **Failure Prediction**: Integrate failure criteria from '3pc-lamfail', such as Tsai-Wu, Tsai-Hill, and Hoffman criteria, to predict potential failure modes of the laminate based on the calculated stresses and strains. 5. **Visualization**: Provide visual outputs of the analysis results. For example, generate plots showing the distribution of stresses and strains across different plies and layers of the laminate. Use matplotlib or seaborn for plotting. 6. **Report Generation**: Automatically generate a comprehensive report summarizing the input data, analysis results, and predicted failure modes. The report should be in PDF format, utilizing LaTeX for formatting. 7. **Validation and Testing**: Include a feature to validate the input data and run predefined test cases to ensure the accuracy of the analysis. Users should be able to compare their results with known solutions or standards. 8. **Documentation**: Write clear and concise documentation for the application, explaining each feature and how to use it effectively. Include examples and tutorials for common scenarios. Your task is to design and implement 'LaminateAnalyzer' following these guidelines, ensuring it is robust, efficient, and user-friendly.