assume-gui

v1.1.0 safe
3.0
Low Risk

ASSUME - GUI

🤖 AI Analysis

Final verdict: SAFE

The package has a low risk score due to minimal potential for harmful actions. It does not execute shell commands or harvest credentials, and there's no evidence of obfuscation.

  • network risk present but legitimate
  • no shell execution detected
  • no credential harvesting detected
  • no obfuscation detected
Per-check LLM notes
  • Network: The presence of network calls suggests the package may interact with external services, which is not inherently malicious but should be reviewed for legitimacy and security practices.
  • Shell: No shell execution patterns detected, indicating low risk of direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.

📦 Package Quality Overall: Medium (5.0/10)

○ 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 (863 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 29 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 5 unique contributor(s) across 100 commits in assume-framework/assume-gui
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • oding", None) async with httpx.AsyncClient(timeout=None) as client: try: resp = awa
✓ 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: assume-project.de>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository assume-framework/assume-gui appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 assume-gui 
Your task is to develop a simple yet engaging graphical user interface (GUI) application using the Python package 'assume-gui'. This application will serve as a tool for users to simulate basic statistical models, providing insights into different scenarios based on user-defined parameters. The application should be intuitive, visually appealing, and capable of handling a variety of input data types.

### Core Features:
1. **Model Selection**: Allow users to choose from a predefined set of statistical models (e.g., Linear Regression, Logistic Regression, Time Series Analysis).
2. **Parameter Input**: Provide fields for users to input necessary parameters for their chosen model (e.g., coefficients, intercepts, time series data).
3. **Simulation Execution**: Implement functionality for running simulations based on the selected model and provided parameters.
4. **Visualization**: Display results of the simulation through graphs and charts. Ensure these visualizations are dynamic and responsive to changes in input parameters.
5. **Save/Export Results**: Enable users to save or export the simulation results in various formats (e.g., CSV, PDF).
6. **Help Documentation**: Include a help section explaining how to use the application and interpret the results.

### How 'assume-gui' is Utilized:
- Use 'assume-gui' to create the main application window and manage layout elements such as buttons, text fields, and result displays.
- Leverage 'assume-gui' for handling events like button clicks, parameter changes, and simulation runs.
- Integrate 'assume-gui' with other Python libraries (such as Matplotlib for visualization and Pandas for data manipulation) to ensure a seamless user experience.

### Additional Suggestions:
- Implement error handling to guide users through common mistakes (e.g., incorrect data types, missing required inputs).
- Add a feature for users to upload custom datasets for analysis.
- Consider incorporating a feature that allows users to compare multiple simulation runs side-by-side.

This project aims to demonstrate your ability to work with 'assume-gui' effectively while also showcasing your understanding of statistical modeling and data visualization concepts.

💬 Discussion Feed

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