AI Analysis
Final verdict: SAFE
The package shows minimal risks with no network calls, shell executions, or obfuscations detected. However, the metadata risk score is slightly elevated due to the maintainer's limited presence.
- No network calls detected
- No shell execution patterns detected
- Maintainer has only one package and no linked GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell execution patterns detected, indicating no suspicious system command executions.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package and no linked GitHub repository, which could indicate a less experienced or potentially suspicious maintainer.
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 (10537 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
7.0
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project235 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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Leonard Storcks" 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 astronomix
Create a mini-application named 'GalacticSim' that simulates the dynamics of a simple galactic system using the 'astronomix' package in Python. This application will allow users to input basic parameters such as mass distribution, initial velocities, and magnetic field strengths within a galaxy. Users can also specify simulation duration and resolution. GalacticSim should visually represent the evolution of the galactic system over time, showing changes in mass distribution, velocity fields, and magnetic field configurations. Utilize the 'astronomix' package's differentiable hydrodynamics capabilities to model these complex interactions accurately. Suggested features include adjustable physical constants, real-time visualization updates, and the ability to save simulation snapshots for further analysis. The app should be designed to be user-friendly, allowing non-experts to explore fundamental concepts in astrophysics through interactive simulations.
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