🤖 AI Analysis

Final verdict: SAFE

The package has been thoroughly analyzed with no signs of malicious activities such as network calls, shell executions, or credential harvesting. It appears safe for use.

No network calls detected
No shell execution patterns detected
No obfuscation or credential harvesting patterns detected

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 the package does not execute external commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (8308 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

18 type-annotated function signatures detected in source

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 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: ioz.ac.uk>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Ben Evans" 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 agoutix

Create a small Python application named 'AgoutiExplorer' that utilizes the 'agoutix' package to explore and visualize genetic data from various species. This application will allow users to upload a CSV file containing genetic sequences, analyze the data using 'agoutix', and generate visual representations of the genetic relationships between different species.

Step 1: Set up the environment
- Install Python and necessary libraries including 'agoutix'.
- Use virtual environments to manage dependencies.

Step 2: Design the user interface
- Create a simple GUI using Tkinter or Streamlit to make the application more accessible.
- Include options to select a CSV file and display basic information about the uploaded data.

Step 3: Implement data processing
- Utilize 'agoutix' functions to clean and preprocess the genetic sequence data.
- Integrate error handling to deal with potential issues in the input data.

Step 4: Genetic analysis
- Apply 'agoutix' functionalities to perform genetic distance calculations between species.
- Generate a dendrogram based on the calculated genetic distances to visually represent the evolutionary relationships.

Step 5: Visualization
- Use matplotlib or seaborn to create a graphical representation of the dendrogram.
- Allow users to save the visualization as an image file.

Suggested Features:
- Option to filter species by specific criteria before analysis.
- Additional visualizations like heatmaps or scatter plots to represent genetic similarities.
- Export analysis results in formats such as CSV or JSON.
- Provide documentation and comments within the code for better understanding and maintenance.

How 'agoutix' is utilized:
- For preprocessing genetic sequences.
- To calculate genetic distances which form the basis of the dendrogram.
- For any other specific functionalities provided by 'agoutix' related to genetic data analysis.