akai-transform

v1.0.0 safe
1.0
Low Risk

纯 Python 空间变换工具库,提供 2D/3D 空间变换、四元数运算、SE(3) 李群李代数、对数四元数等功能

🤖 AI Analysis

Final verdict: SAFE

The akai-transform package appears to be safe based on the provided analysis notes. It has no detected network calls, shell executions, obfuscations, or credential harvesting activities.

  • No network calls detected
  • No shell execution patterns detected
  • No obfuscation patterns detected
  • No credential harvesting patterns detected
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating no direct system command execution by the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

📦 Package Quality Overall: Low (3.2/10)

○ 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 (3870 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

  • 3 type-annotated function signatures (partial)
○ 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 score 3.0

Suspicious email domain flags: Very short email domain: qq.com>

  • Very short email domain: qq.com>
Suspicious Page Links

All external links appear legitimate

Git Repository History

No GitHub repository linked

  • No GitHub repository link found
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 akai-transform
Design and develop a 3D robotic arm simulation tool using the Python package 'akai-transform'. This tool will enable users to visualize and manipulate the movements of a robotic arm in a virtual environment. The project should include the following key functionalities:

1. **Robotic Arm Model**: Define a simple 6-DOF robotic arm model, where each joint can be independently controlled.
2. **Visualization**: Implement a basic 3D visualization interface using libraries such as PyOpenGL or VPython to display the robotic arm in real-time.
3. **Joint Control**: Allow users to input joint angles and observe how these changes affect the position and orientation of the end-effector.
4. **Transformation Operations**: Utilize the 'akai-transform' package to perform necessary transformations like rotations, translations, and quaternion operations to accurately represent the robotic arm's movement.
5. **Path Planning**: Implement a feature that allows the user to input a series of waypoints and generate a smooth path for the robotic arm to follow, using inverse kinematics calculations.
6. **User Interface**: Develop a simple GUI using Tkinter or PyQt to control the robotic arm parameters and view the simulation results.
7. **Documentation and Testing**: Provide comprehensive documentation for the codebase and conduct thorough testing to ensure the accuracy and reliability of the transformations and simulations.

In this project, the 'akai-transform' package plays a crucial role in handling all spatial transformations required for the robotic arm simulation. It simplifies complex operations such as calculating joint positions based on given angles, applying rotations and translations to the robotic arm segments, and ensuring smooth transitions between different poses. By leveraging the functionalities provided by 'akai-transform', you can focus more on the higher-level logic of your application rather than getting bogged down in the details of transformation mathematics.

💬 Discussion Feed

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