🤖 AI Analysis

Final verdict: SAFE

The package aed-utilities v1.0.0 exhibits minimal risks across all categories with no network calls, shell executions, obfuscations, or credential harvesting attempts detected. The primary concern is the metadata risk due to the author having only one package, but this alone is insufficient to conclude any malicious intent.

No network calls
No shell execution
No obfuscation
No credential harvesting
Author has only one package

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution patterns detected, indicating the package does not execute external commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author has only one package, which may indicate a new or less active account, but no other red flags were identified.

🔬 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: dcc.uchile.cl

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ivansipiran/aed-utilities appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Profesores del Curso" 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 aed-utilities

Create a Python-based graphical user interface (GUI) application that allows users to visualize various data structures such as arrays, linked lists, stacks, queues, trees, and graphs. This application will leverage the 'aed-utilities' package to provide basic drawing functionalities for these data structures. Here’s a step-by-step guide on how to approach this project:

1. **Setup Environment**: Ensure you have Python installed along with necessary GUI libraries like Tkinter or PyQt. Install the 'aed-utilities' package if it's not already available.
2. **Design the UI**: Design a simple yet intuitive UI where users can select different types of data structures they want to visualize. Include options to input specific parameters for each data structure (e.g., number of nodes, edges).
3. **Implement Core Functionality**: Use the 'aed-utilities' package to draw the selected data structure based on user inputs. For instance, if a user selects a binary tree, the app should allow them to input node values and then use 'aed-utilities' functions to draw the tree graphically.
4. **Add Interactive Features**: Allow users to interact with the drawn data structures. For example, enable clicking on nodes in a graph to highlight paths or perform operations like insertion/deletion in arrays or linked lists.
5. **Enhance with Animations**: To make the visualization more engaging, implement animations when drawing or modifying data structures. Use 'aed-utilities' to smoothly transition between states (e.g., showing the process of sorting an array).
6. **Testing and Debugging**: Thoroughly test the application with different data structures and edge cases to ensure stability and correctness.
7. **Documentation and Deployment**: Write clear documentation explaining how to use the application and deploy it either as a standalone executable or online.

The goal is to create an educational tool that not only visualizes but also helps users understand complex data structures through interactive and animated visualizations. Utilize 'aed-utilities' effectively to focus on the core visualization logic while leveraging other libraries for the UI and interaction.