AI Analysis
The package shows minimal risk indicators such as no network calls, shell executions, or obfuscation techniques. However, the metadata risk due to the package being new and having a limited maintainer history slightly elevates the concern.
- No network calls or shell executions detected
- Maintainer has limited history
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is new with low activity and the maintainer has limited history, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (4.4/10)
Partial test coverage signals detected
2 test file(s) detected (e.g. test_allen_integration.py)
Some documentation present
Detailed PyPI description (8284 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
45 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 14 commits in ingvildeb/atlaslevelsSingle author with few commits — possibly a personal or throwaway project
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
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Ingvild" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application called 'OntologyExplorer' using Python and the 'atlaslevels' package. This application will allow users to explore and manipulate hierarchical data from various ontology sources, focusing on customizable level definitions and navigation within these hierarchies. Steps to complete the project: 1. **Setup**: Install necessary packages including 'atlaslevels'. 2. **Data Input**: Implement functionality for users to input or select an ontology file or URL. 3. **Level Customization**: Allow users to define their own hierarchy levels based on the ontology provided. 4. **Navigation**: Develop a feature for users to navigate through the defined hierarchy levels easily. 5. **Visualization**: Create a simple graphical interface or console output to visualize the hierarchy and selected nodes. 6. **Querying**: Enable basic querying capabilities so users can search for specific terms within the ontology. 7. **Export/Save**: Add options to export or save the customized hierarchy and any changes made by the user. Suggested Features: - Support for multiple ontology formats (e.g., OBO, OWL). - Intuitive UI for level customization. - Interactive visualization of hierarchy. - Basic statistics about the ontology structure. - Saving session data for future use. How 'atlaslevels' is Utilized: - Use 'atlaslevels' to parse and manage the ontology data efficiently. - Leverage its tools for defining and manipulating hierarchy levels according to user specifications. - Apply its functionalities for navigating and querying the ontology hierarchy in a precise manner.
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