avlgmath

v1.0.0 suspicious
4.0
Medium Risk

Advanced Vector & Linear Algebra / Numerical Methods Library

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in direct threats like network calls, shell execution, and obfuscation. However, the metadata risk due to low repository activity and a new maintainer account raises some suspicion.

  • Low activity repository
  • New maintainer account
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate signs of malicious shell command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting the package is not involved in secret or credential theft activities.
  • Metadata: The repository's low activity and the maintainer's new account suggest potential risk, but there are no clear signs of malicious intent.

📦 Package Quality Overall: Low (4.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 2 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/Aditya97-gif/avlgmath/wiki
  • Detailed PyPI description (11800 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 9 commits in Aditya97-gif/avlgmath
  • Single author with few commits — possibly a personal or throwaway project

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Aditya Prakash Pathak" 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 avlgmath 
Create a fully-functional mini-app that demonstrates the capabilities of the 'avlgmath' library, which specializes in advanced vector and linear algebra operations as well as numerical methods. This app will serve as a tool for visualizing the transformation of geometric shapes through matrix operations and solving systems of linear equations.

Step 1: Define the main functionalities of the app. The app should allow users to input matrices and vectors, perform various transformations on them using 'avlgmath', and visualize the results graphically.

Step 2: Implement a user-friendly interface where users can input data directly or load from predefined datasets. Use 'avlgmath' to handle all mathematical computations behind the scenes.

Step 3: Integrate graphical visualization tools to display the original and transformed shapes. For example, if a user inputs a 2D square and applies a rotation matrix, the app should show both the original square and the rotated version side-by-side.

Step 4: Add features to solve systems of linear equations using methods like Gaussian elimination or LU decomposition provided by 'avlgmath'. Allow users to see step-by-step solutions and understand the underlying process.

Step 5: Include educational content such as explanations of key concepts in linear algebra and vector math, linked to specific functions within 'avlgmath'. This could be in the form of tooltips, pop-ups, or a dedicated help section.

Suggested Features:
- Interactive sliders for adjusting parameters in transformations (e.g., angle of rotation).
- A history log that records all transformations performed during a session.
- Export functionality to save visualizations and solutions.
- An option to switch between different numerical precision modes supported by 'avlgmath'.

The goal is to create an engaging and educational tool that showcases the power of 'avlgmath' while being accessible and informative for users of varying skill levels.

💬 Discussion Feed

Leave a comment

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