association-studio

v1.12.0 safe
4.0
Medium Risk

Study of the association metrics for nuScenes and kinematic tracker.

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks associated with obfuscation and credential theft. However, it exhibits low maintainer activity and poor metadata quality, which may indicate potential issues with support and updates.

  • No signs of obfuscation or credential theft
  • Low maintainer activity and poor metadata quality
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The package shows low maintainer activity and poor metadata quality, but there are no clear signs of malicious intent.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 43 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: conftest.py
  • Test runner config found: conftest.py
  • 43 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Docs" -> https://kovalp.github.io/association-studio-docs/
  • Detailed PyPI description (1255 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

  • 70 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: vicomtech.org>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with association-studio 
Create a mini-application named 'AssociationExplorer' that leverages the 'association-studio' Python package to analyze and visualize associations between objects in the nuScenes dataset. This application will focus on enhancing the understanding of object interactions within complex traffic scenes by providing a user-friendly interface to explore different association metrics and patterns.

Steps to complete the project:
1. Set up the environment by installing necessary packages including 'association-studio'.
2. Load a sample dataset from nuScenes into your application.
3. Implement functionality to calculate various association metrics provided by 'association-studio', such as IoU (Intersection over Union), EMD (Earth Mover's Distance), etc.
4. Develop a visualization module that graphically represents these associations and metrics using libraries like Matplotlib or Plotly.
5. Integrate a feature allowing users to select specific time intervals or object types for more focused analysis.
6. Add a dashboard or GUI where users can interact with the data, adjusting parameters and viewing real-time changes in association metrics.
7. Ensure the application is well-documented and includes instructions for installation and usage.
8. Test the application thoroughly with different datasets from nuScenes to ensure reliability and accuracy.

Suggested Features:
- Interactive sliders or input fields to adjust parameters for calculating association metrics.
- A timeline view that highlights significant changes in association metrics over time.
- Export options to save visualizations or raw metric data for further analysis.
- A help section explaining common terms and concepts related to association metrics in the context of traffic scene analysis.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!