AI Analysis
The package shows no signs of malicious activity with low risks across all categories except metadata. The maintainer's limited presence on PyPI slightly increases the risk, but there is insufficient evidence to suggest a supply-chain attack.
- No network calls or shell executions detected.
- Maintainer has only one package on PyPI.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external communications for its functionality.
- Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Low risk due to lack of suspicious activities, but caution advised as the maintainer has only one package and no PyPI classifiers.
Package Quality Overall: Low (2.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Brief PyPI description (575 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author "Pizeltray Studios" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based educational tool named 'ShapeMaster' that leverages the 'altray' package to help students learn about different geometric shapes. This application will allow users to input specific dimensions for various shapes (such as circles, squares, rectangles, triangles, etc.), and it will calculate and display properties like area, perimeter, volume, surface area, etc. Additionally, the app should visually render these shapes using ASCII art or simple graphical representations.
Step-by-step guide:
1. Start by installing the 'altray' package if not already installed. Use pip for installation.
2. Design a user-friendly interface where users can select the type of shape they want to work with.
3. Implement functions to calculate the required properties of each shape based on user inputs. Utilize the 'altray' package for any shape-related utilities or calculations that it provides.
4. Integrate functionality to visually represent each shape through ASCII art or simple graphics. Again, leverage 'altray' for any shape drawing capabilities it offers.
5. Add error handling to ensure invalid inputs are caught and appropriately addressed.
6. Finally, implement a feature that allows users to save their shape configurations and calculated properties into a file for future reference.
Suggested Features:
- Comprehensive documentation and examples on how to use ShapeMaster.
- Support for a wide range of shapes beyond the basic ones mentioned.
- Interactive tutorials explaining the mathematical concepts behind calculating the properties of different shapes.
- Integration of quizzes or puzzles related to shapes and their properties to enhance learning.
How 'altray' is utilized:
- For calculating properties of shapes ('altray' may provide functions for common shapes).
- For rendering shapes in a simple graphical format ('altray' could offer tools to draw shapes using ASCII art or basic graphics).