🤖 AI Analysis

Final verdict: SUSPICIOUS

The package Algomancy v0.8.2 has been assessed with a moderate risk score due to potential metadata issues and low maintainer activity, despite showing no direct signs of malicious behavior or obfuscation.

Insecure link in metadata
Low maintainer activity

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some red flags such as an insecure link and low maintainer activity, but there's no clear evidence of malice.

🔬 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: cqm.nl>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://127.0.0.1:8050

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Pepijn Wissing" 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 Algomancy

Create a fully-functional mini-application using the Python package 'Algomancy' to visualize the performance of different sorting algorithms. This application should allow users to input data arrays of varying lengths and types (e.g., integers, floats), select from a list of common sorting algorithms (e.g., Bubble Sort, Quick Sort, Merge Sort), and then display the performance metrics of these algorithms in real-time as they run. The application should include the following features:

1. User Interface: Design a clean, intuitive interface where users can input their data array and select the sorting algorithm.
2. Algorithm Selection: Provide options for at least three different sorting algorithms.
3. Performance Metrics: Display performance metrics such as time taken to sort, number of comparisons made, and number of swaps performed.
4. Visualization: Use Algomancy's dashboarding capabilities to create dynamic visualizations showing the progress and final state of the sorting process.
5. Comparison Tool: Allow users to compare the performance of two selected algorithms side-by-side.
6. Error Handling: Implement robust error handling to manage invalid inputs gracefully.
7. Documentation: Include clear documentation on how to install dependencies, run the application, and interpret the results.

Utilize Algomancy's core features by setting up dashboards to dynamically update as each sorting algorithm runs, providing real-time feedback on performance metrics. Additionally, use Algomancy to create comparative visualizations that highlight differences between chosen algorithms. Ensure that the application is interactive and educational, helping users understand the efficiency and behavior of different sorting algorithms through visual means.