AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity and has minimal risk indicators. The maintainer's single package on PyPI slightly raises suspicion, but there is no concrete evidence to suggest any harmful intent.
- No network calls or shell executions detected.
- No obfuscation or credential harvesting patterns found.
- Maintainer has only one package on PyPI.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting no risk of secret theft.
- Metadata: The maintainer has only one package on PyPI, which may indicate a new or less active account but does not strongly suggest malicious intent.
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
Repository aidancrilly/NeSST appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Aidan Crilly <[email protected]>" 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 NeSST
Create a mini-application named 'NeutronSpectroscopyAnalyzer' using the NeSST Python package. This application will serve as a tool for researchers and scientists to analyze neutron spectra data from Inertial Confinement Fusion (ICF) experiments. The application should allow users to upload their own neutron spectrum data files (in a common format such as CSV or TXT), apply various analysis techniques provided by NeSST, and visualize the results in real-time. Here’s a step-by-step guide on what your application should do: 1. **User Interface**: Design a simple, user-friendly interface where users can upload their neutron spectrum data files. 2. **Data Processing**: Use NeSST to load and process the uploaded data. Ensure the application supports basic preprocessing steps like normalization and smoothing. 3. **Analysis Features**: - Implement functionality to calculate primary and scattered neutron spectra as per ICF standards. - Allow users to specify parameters for analysis such as energy range, scattering angles, etc. 4. **Visualization**: Integrate visualization tools to display the analyzed data in graphical form. Users should be able to view both raw and processed data side-by-side for comparison. 5. **Export Results**: Provide an option for users to export their analyzed data and visualizations in formats like PDF or PNG for further use or reporting. 6. **Documentation**: Include comprehensive documentation explaining how to use the application effectively and detailing the underlying NeSST functionalities. Your task is to outline the core functionalities, design the user interface, and integrate NeSST into your application. Focus on making the application intuitive and powerful, ensuring it can handle a variety of neutron spectrum data inputs and produce accurate analyses.