aigverse

v0.1.1 suspicious
4.0
Medium Risk

A Python library for working with logic networks, synthesis, and optimization.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of obfuscation and credential harvesting but has a moderate metadata risk due to the maintainer's new or inactive account and lack of proper identification.

  • Low obfuscation risk
  • No credential risk detected
  • Moderate metadata risk due to maintainer unreliability
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, indicating potential unreliability.

📦 Package Quality Overall: Medium (6.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://aigverse.readthedocs.io/en/latest/
  • Detailed PyPI description (17080 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 8 type-annotated function signatures (partial)
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 100 commits in marcelwa/aigverse
  • Small but multi-author team (3–4 contributors)

🔬 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: tum.de>

Suspicious Page Links

All external links appear legitimate

Git Repository History

Repository marcelwa/aigverse 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 aigverse
Create a mini-application named 'LogicOptimizer' using the 'aigverse' Python package that aims to help users optimize their digital logic circuits. This application will serve as a tool for hobbyists, students, and engineers who work with Boolean algebra and digital logic design.

### Features:
1. **Circuit Input:** Users should be able to input their logic circuit specifications either through a simple text-based interface or by uploading a file containing the circuit description.
2. **Optimization Algorithm Selection:** The application should provide different optimization algorithms for the user to choose from, such as Karnaugh Map Simplification, Quine-McCluskey Algorithm, or other heuristic methods provided by the 'aigverse' package.
3. **Output Generation:** After applying the chosen optimization algorithm, the application should generate the optimized circuit representation. This could include the simplified Boolean expressions, truth tables, and visual representations of the optimized circuit.
4. **Visualization Tool:** Implement a feature within the application that allows users to visualize the optimized circuit layout. This can be done using graph plotting libraries compatible with Python.
5. **Save and Share:** Provide functionality for users to save their optimized circuit designs locally or share them via a unique URL.
6. **User Interface:** Develop a user-friendly interface that guides users through each step of the process, from inputting their circuit to viewing the optimized output.

### Utilization of 'aigverse':
- Use 'aigverse' for parsing and interpreting the logic circuit inputs.
- Leverage 'aigverse' for implementing and executing the various optimization algorithms available.
- Employ 'aigverse' to generate and display the optimized Boolean expressions and truth tables.
- Integrate 'aigverse' to handle the visualization of the optimized circuit layout.

### Additional Considerations:
- Ensure the application is well-documented and includes tutorials on how to use it effectively.
- Include error handling to manage incorrect inputs and guide users towards correct usage.
- Explore ways to integrate community feedback and suggestions into future updates of the application.

💬 Discussion Feed

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