astar-math

v0.2.post1 safe
2.0
Low Risk

Python math

πŸ€– AI Analysis

Final verdict: SAFE

The package exhibits very low risk indicators with no network calls, shell executions, obfuscations, or credential harvesting attempts. The metadata suggests a new maintainer but does not raise additional concerns.

  • No network calls
  • No shell executions
  • No obfuscation
Per-check LLM notes
  • Network: No network calls suggest the package is not attempting to communicate externally, which is normal for most utility packages.
  • Shell: No shell execution patterns indicate that the package does not execute external commands, reducing potential for malicious activity.
  • 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 might indicate a new or less active account, but no other red flags are present.

πŸ“¦ Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present β€” 10 test file(s) found

  • 10 test file(s) detected (e.g. __init__.py)
β—ˆ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (794 chars)
β—‹ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
β—ˆ Medium Type Annotations 5.0

Partial type annotation coverage

  • 8 type-annotated function signatures (partial)
β—‹ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked β€” contributor count unavailable

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: snowland.ltd

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "A.Star" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with astar-math
Create a Python-based pathfinding game using the 'astar-math' package. This game will simulate a grid-based environment where players need to navigate from a starting point to a goal while avoiding obstacles. The game should include a graphical user interface (GUI) for better visualization and interaction. Here’s a detailed breakdown of the project requirements:

1. **Game Environment Setup**: Initialize a grid-based world where each cell can either be passable or blocked. The player character and the goal position should be clearly marked.
2. **Pathfinding Algorithm Integration**: Utilize the A* algorithm from the 'astar-math' package to find the shortest path from the player's starting position to the goal. Ensure the algorithm accounts for obstacles present in the grid.
3. **Dynamic Obstacle Handling**: Introduce dynamic obstacles that can appear and disappear randomly during gameplay. Modify the pathfinding algorithm to recalculate the path when obstacles change.
4. **User Interface**: Develop a simple GUI using a library like Tkinter to display the game grid and visualize the pathfinding process. Include buttons to start and reset the game, and a display showing the number of steps taken to reach the goal.
5. **Scoring System**: Implement a scoring system based on the efficiency of the path found. Consider factors such as the length of the path and the time taken to calculate it.
6. **Customization Options**: Allow users to customize the size of the grid, the density of obstacles, and the speed of obstacle movement.
7. **Documentation**: Provide clear documentation explaining how to run the game, customize its settings, and understand the underlying pathfinding logic.

This project not only tests your ability to integrate external packages but also challenges you to create an interactive and visually appealing application.

πŸ’¬ Discussion Feed

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