AI Analysis
Final verdict: SAFE
The package amaranth-yosys v0.50.0.0.post124 appears to be legitimate with no signs of malicious activities such as network calls, shell executions, or credential harvesting. The metadata quality issues suggest some level of concern but do not indicate malicious intent.
- No network calls or shell executions detected.
- Low engagement and metadata quality issues noted.
Per-check LLM notes
- Network: No network calls detected, which is normal and expected unless the package requires external services.
- Shell: No shell executions detected, which is normal and expected as it's not typical for a Python package to execute shell commands unless necessary.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
- Metadata: The package shows low engagement and metadata quality issues but lacks clear indicators of malicious intent.
Package Quality Overall: Low (3.8/10)
○ 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 (1970 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
✦ High
Multiple Contributors
10.0
Active multi-contributor project
5 unique contributor(s) across 100 commits in amaranth-lang/amaranth-yosysActive community — 5 or more distinct 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: whitequark.org>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository amaranth-lang/amaranth-yosys appears legitimate
Maintainer History
score 6.0
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 amaranth-yosys
Create a simple web-based tool that allows users to compile and simulate Verilog designs using the 'amaranth-yosys' package. This tool will serve as an educational platform where users can input their Verilog code, select options for compilation, and view simulation results directly in their browser. Here’s how you can structure your project: 1. **Project Setup**: Begin by setting up a basic Flask application. Ensure you have 'amaranth-yosys' installed in your environment. 2. **User Interface**: Develop a clean and user-friendly interface using HTML/CSS/JavaScript. The UI should include areas for code input, option selection, and result display. 3. **Code Compilation**: Implement a backend function that uses 'amaranth-yosys' to compile the user-submitted Verilog code. Users should be able to choose different compilation settings like optimization levels. 4. **Simulation Execution**: After successful compilation, allow users to run simulations on their design. Provide options for viewing waveform data and other simulation outputs. 5. **Result Visualization**: Integrate a JavaScript library (such as vcd.js) to visualize waveform data from the simulation output. This will help users understand the behavior of their circuits over time. 6. **Error Handling**: Make sure to implement robust error handling to guide users through common mistakes such as syntax errors or unsupported features in their Verilog code. 7. **Documentation**: Write comprehensive documentation for both developers and end-users. Include tutorials on how to use the tool effectively and troubleshoot common issues. This project aims to make learning about digital logic and hardware description languages more accessible and interactive.
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