🤖 AI Analysis

Final verdict: SAFE

The package algomancy-gui v0.8.2 presents minimal risks across all categories assessed. It does not engage in potentially harmful activities such as making network calls or executing shell commands.

Low network and shell execution risk
No evidence of obfuscation or credential harvesting

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell executions detected, indicating no immediate risk of command injection or privilege escalation.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some signs of low maintenance and lack of community involvement, but there's no clear indication of malicious intent.

📦 Package Quality Overall: Low (2.0/10)

○ 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 (1724 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ 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: cqm.nl>

✓ 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 "Pepijn Wissing" 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 algomancy-gui

Develop a user-friendly data visualization dashboard using the 'algomancy-gui' package in Python. This dashboard will allow users to upload their datasets, perform basic exploratory data analysis (EDA), and visualize the data through various graphical representations. Here are the key steps and features your application should include:

1. **Setup and Environment**: Ensure your environment is set up correctly by installing necessary packages including 'algomancy-gui', 'pandas', 'dash', and 'dash-bootstrap-components'.
2. **Data Upload Interface**: Create an interface where users can upload CSV files directly into the dashboard.
3. **Basic EDA Tools**: Implement tools within the dashboard that allow users to view summary statistics of their dataset, identify missing values, and detect outliers.
4. **Visualization Components**: Use 'algomancy-gui' to create interactive visualizations such as scatter plots, histograms, and line graphs. These should be customizable based on user input regarding which columns they want to plot.
5. **Customization Options**: Provide options for users to customize the look and feel of their visualizations, including color schemes and chart types.
6. **Export Functionality**: Enable users to export their visualizations as images or PDFs for use in reports or presentations.
7. **Error Handling**: Ensure robust error handling to gracefully manage issues like incorrect file formats or missing data columns.

By following these guidelines, you'll create a versatile tool that leverages 'algomancy-gui' to offer powerful data exploration capabilities right from a web browser.