🤖 AI Analysis

Final verdict: SAFE

The package NFBM v0.1.0 has been assessed with minimal risks across all categories except for metadata, where it shows some signs of low activity and effort. However, these indicators alone do not suggest a supply-chain attack.

No network calls or shell executions detected
Low risk of obfuscation or credential harvesting
Some concerns noted in metadata regarding package activity

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external communication.
Shell: No shell execution detected, indicating no direct system command execution.
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 package shows some signs of low activity and effort, but lacks clear red flags.

🔬 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 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Bas de Ridder" 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 NFBM

Create a Python-based mini-app called 'NeumannFluxExplorer' that leverages the Neuman Flux Boundary Model (NFBM) package to simulate heat transfer through various materials under different boundary conditions. The app should allow users to input parameters such as material properties, initial temperatures, boundary conditions, and time steps. Users should be able to visualize the temperature distribution over time using interactive plots and graphs.

Core Features:
1. Input Interface: Provide a user-friendly interface where users can enter details about the material (e.g., thermal conductivity, specific heat capacity), initial temperature distribution, boundary conditions (Dirichlet, Neumann, Robin), and simulation duration.
2. Simulation Engine: Utilize the NFBM package to perform the numerical simulations based on the inputs provided. Ensure the model accurately reflects the physical principles of heat transfer.
3. Visualization Module: Implement real-time visualization of the temperature distribution across the material over time. This could include static images at key time points and dynamic animations showing the progression of heat transfer.
4. Customization Options: Allow users to customize the simulation parameters, including adjusting the spatial and temporal resolution, to explore the sensitivity of the system to these changes.
5. Export Functionality: Enable users to export the results of their simulations in common file formats (e.g., CSV, PNG) for further analysis or reporting.
6. Documentation: Create comprehensive documentation explaining how to use the app, interpret the results, and integrate it into other workflows if needed.

The NFBM package will be utilized primarily for the numerical solution of the heat equation under Neumann boundary conditions. It will handle the discretization of space and time, applying appropriate finite difference methods to solve the partial differential equations governing heat transfer. Additionally, the package may offer built-in functions for generating initial conditions and handling boundary conditions, which will be leveraged to simplify the implementation of these aspects in your app.