AI Analysis
Final verdict: SAFE
The package is considered safe due to low risks across network, shell, obfuscation, and credential fronts. However, the metadata risk score is elevated due to the maintainer's new or inactive account and lack of community engagement.
- Low risk scores across various categories
- Elevated metadata risk due to maintainer status and repository activity
Per-check LLM notes
- Network: No network calls detected, which is normal for a package focused on types and not requiring external services.
- Shell: No shell execution patterns detected, aligning with expectations for a benign Python library.
- 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 the repository lacks community engagement.
Package Quality Overall: Low (3.6/10)
○ 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 (1673 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
9 type-annotated function signatures (partial)
◈ Medium
Multiple Contributors
5.0
Limited contributor diversity
1 unique contributor(s) across 30 commits in Arturius771/astronomy_typesSingle author but highly active (30 commits)
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
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Artur Foden" 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 astronomy-types
Create a Python-based mini-application named 'CelestialViewer' that allows users to explore celestial objects in our solar system using type hints provided by the 'astronomy-types' package. This application will serve as both a learning tool and a fun way to visualize astronomical data. The main functionalities of the app include: 1. **Object Information Retrieval**: Users can input the name of a celestial object (e.g., planets, moons, asteroids), and the app retrieves basic information about it, such as its diameter, distance from the sun, orbital period, and other relevant details. 2. **Orbital Visualization**: For each celestial object, the app should display its orbit around the sun in a simple graphical format, using matplotlib or a similar plotting library. 3. **Comparative Analysis**: Users can compare two different celestial objects side by side to see differences and similarities in their properties. 4. **Interactive Mode**: An interactive mode where users can move a virtual camera around the solar system to get a better sense of scale and relative positions of celestial bodies. 5. **Educational Content**: Provide short, informative descriptions about each object and its significance in our solar system. To achieve these goals, you will extensively use the 'astronomy-types' package for type hinting throughout your codebase to ensure robustness and clarity in handling various types of astronomical data. This includes defining custom types for celestial objects, orbits, and other astronomical entities, which will help in managing complex data structures and improving code readability and maintainability. Additionally, utilize the package’s capabilities to validate inputs and outputs, ensuring that all data processed by the application conforms to expected astronomical standards and formats.
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