alternative

v0.2.0 suspicious
4.0
Medium Risk

A library to help with the management of alternative implementations of functions

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network calls, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is elevated due to incomplete maintainer information and a single associated package, suggesting potential unreliability.

  • Low network and shell risk
  • Incomplete maintainer metadata
  • Single associated PyPI package
Per-check LLM notes
  • Network: No network calls detected, indicating low risk.
  • Shell: Shell execution is likely for type checking purposes and does not inherently indicate malicious activity.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author name is missing or very short, and they appear to have only one package on PyPI, which might indicate a new or inactive account.

📦 Package Quality Overall: Medium (6.4/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 4 test file(s) detected (e.g. test_alternative.py)
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "Documentation" -> https://alternative.readthedocs.io/
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (6539 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 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
  • 69 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 20 commits in Code0x58/alternative
  • Single author but highly active (20 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • used by type checkers.""" subprocess.run( [ sys.executable, "-m",
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Code0x58/alternative 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 alternative 
Create a Python-based task manager application named 'TaskSwitcher' that leverages the 'alternative' package to manage different implementations of task scheduling algorithms. This application will allow users to create tasks, assign them priorities, and schedule them using various algorithms such as First-Come-First-Served (FCFS), Shortest Job Next (SJN), Priority Scheduling, and Round Robin (RR). Users should be able to switch between these scheduling methods dynamically without restarting the application.

### Core Features:
1. **Task Creation**: Allow users to input task details including name, priority level, and estimated completion time.
2. **Scheduling Algorithms**: Implement four different scheduling algorithms: FCFS, SJN, Priority Scheduling, and RR.
3. **Dynamic Algorithm Switching**: Provide functionality to change the current scheduling algorithm on-the-fly.
4. **Visualization**: Display a timeline of scheduled tasks to visualize the execution order.
5. **Statistics**: Offer statistics about the performance of each scheduling method.

### Utilizing the 'alternative' Package:
- Use the 'alternative' package to define interfaces for the different scheduling algorithms. Each algorithm implementation should adhere to this interface.
- Implement the switching mechanism within the TaskSwitcher app to dynamically load and use different algorithm implementations based on user choice.
- Ensure that the application can handle the transition between different algorithms seamlessly and efficiently, maintaining task state consistency during the switch.

### Additional Requirements:
- Write comprehensive documentation detailing how to install, configure, and use TaskSwitcher.
- Include unit tests to verify the correctness of each scheduling algorithm and the switching functionality.
- Design a simple yet effective user interface for interacting with the application.

This project aims to showcase the flexibility and power of the 'alternative' package in managing complex systems where multiple implementations of core functionalities need to coexist and be interchangeable.

💬 Discussion Feed

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