🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity with low scores across all categories except metadata, where it slightly raises concern due to the maintainer's single package. Overall, it appears safe.

No network calls detected
Maintainer 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 no immediate risk of command injection or system manipulation.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Low (4.6/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://github.com/jenreh/appkit/tree/main/docs
Detailed PyPI description (10608 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

17 type-annotated function signatures detected in source

✦ High Multiple Contributors 8.0

Active multi-contributor project

3 unique contributor(s) across 100 commits in jenreh/appkit
Small but multi-author team (3–4 contributors)

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository jenreh/appkit appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Jens Rehpöhler" 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 appkit-ui

Your task is to create a user-friendly desktop application using the Python package 'appkit-ui'. This application will serve as a personal finance tracker where users can log their daily expenses and monitor their spending habits over time. The goal is to provide a simple yet effective tool for individuals to manage their finances better.

### Core Features:
- **User Interface**: Design a clean and intuitive interface that allows users to input their expenses easily. Use 'appkit-ui' to handle all UI elements such as buttons, text fields, and labels.
- **Expense Entry**: Users should be able to enter details like date, category (e.g., groceries, entertainment), amount, and a brief description of each expense.
- **Data Storage**: Implement local storage for saving expense data. Consider using SQLite or another lightweight database to store entries persistently.
- **Report Generation**: Allow users to generate monthly and yearly financial reports based on their entries. These reports should include visual representations like pie charts and bar graphs to illustrate spending patterns.
- **Budget Setting**: Provide functionality for setting monthly budgets across different categories. The application should alert users when they are approaching or exceeding their budget limits.
- **Backup and Restore**: Include options for backing up and restoring data to ensure users don't lose their entries due to software issues or hardware failures.

### Detailed Steps:
1. **Setup Environment**: Begin by installing Python and the 'appkit-ui' package. Ensure you have a development environment set up that supports GUI applications.
2. **Design the Layout**: Sketch out the layout of your application using 'appkit-ui'. Think about how you want to arrange elements like entry forms, buttons, and display areas for reports.
3. **Implement Expense Entry Form**: Use 'appkit-ui' components to create a form where users can input their expenses. Make sure to validate inputs to prevent incorrect data from being stored.
4. **Database Integration**: Set up a local SQLite database to store expense entries. Write functions to add new entries, retrieve them, and update them as needed.
5. **Generate Reports**: Utilize 'appkit-ui' to display graphical reports based on the stored data. Focus on creating visually appealing charts that clearly show spending trends.
6. **Add Budget Management**: Integrate a feature that allows users to set monthly budgets and receive alerts when nearing/exceeding these limits.
7. **Backup & Restore Functionality**: Implement mechanisms for backing up and restoring application data to ensure users can recover their entries if necessary.
8. **Testing and Refinement**: Test the application thoroughly to find and fix any bugs. Gather feedback from potential users and refine the application accordingly.

By following these steps, you'll develop a practical and engaging personal finance tracker that leverages the capabilities of 'appkit-ui' to deliver a seamless user experience.