apfel

v0.3.1 safe
3.0
Low Risk

A Python functional extras library providing a set of quality-of-life utilities.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activities such as network calls, shell execution, or credential harvesting. The metadata risk is slightly elevated due to the maintainer having only one package.

  • No network calls
  • Single package from maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The maintainer has only one package, which might indicate a new or less active user, but no other red flags were raised.

📦 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 (1219 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

  • 25 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: outlook.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History

No GitHub repository linked

  • No GitHub repository link found
Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Yixuan-Wang" 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 apfel
Create a Python-based task management application named 'TaskMaster' that leverages the 'apfel' package to enhance its functionality. TaskMaster should allow users to add tasks, mark them as completed, delete tasks, and list all tasks along with their status (completed or pending). Additionally, implement the following features:

1. **Search Functionality**: Allow users to search for specific tasks by keywords.
2. **Priority Levels**: Enable users to assign priority levels (low, medium, high) to tasks.
3. **Due Dates**: Tasks should have due dates which can be set by the user.
4. **Statistics**: Display statistics such as total number of tasks, number of completed tasks, and number of overdue tasks.
5. **User Interface**: Develop a simple command-line interface for interacting with the application.

**Utilization of 'apfel' Package**:
- Use 'apfel' functions to streamline the process of adding, modifying, and deleting tasks. For instance, utilize 'apfel' for functional operations like filtering tasks based on their status or priority level.
- Implement 'apfel' utilities to manage collections of tasks efficiently, ensuring the application remains performant even as the number of tasks grows.
- Leverage 'apfel' for any other utility that enhances the task management process, such as date manipulation or string formatting for better output presentation.

Your goal is to create a robust, user-friendly task management tool that showcases the capabilities of the 'apfel' package while providing practical value to the end-user.

💬 Discussion Feed

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