AI Analysis
The package appears to be safe with minimal risks identified. It does not engage in any network calls, shell executions, or obfuscations that could indicate malicious behavior.
- Low metadata risk due to a single package from the maintainer.
- No network, shell, obfuscation, or credential risks detected.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
- Shell: No shell execution patterns detected, indicating no direct system command execution by the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The maintainer has only one package, suggesting it might be a new or less active account.
Package Quality Overall: Medium (7.0/10)
Test suite present — 15 test file(s) found
15 test file(s) detected (e.g. test_application_properties.py)
Some documentation present
Documentation URL: "Change Log" -> https://application_properties.readthedocs.io/en/latest/chanDetailed PyPI description (7699 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project103 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 100 commits in jackdewinter/application_propertiesSmall but multi-author team (3–4 contributors)
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
Email domain looks legitimate: outlook.com
All external links appear legitimate
Repository jackdewinter/application_properties appears legitimate
1 maintainer concern(s) found
Author "Jack De Winter" 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 simple yet powerful configuration management tool for Python applications using the 'application-properties' package. This tool will allow developers to easily manage their application settings, such as database connection strings, API keys, logging levels, and more. It should provide a user-friendly interface for both setting up initial configurations and updating existing ones without needing to modify code directly. Here are the key steps and features you'll implement: 1. **Setup Initial Configuration**: Develop a script that reads a predefined set of properties from a YAML file and stores them into the application's property store using the 'application-properties' package. 2. **Access Properties**: Write functions within your application to dynamically access these properties during runtime, ensuring that changes made to the YAML file are reflected immediately. 3. **User Interface**: Create a basic command-line interface (CLI) that allows users to view current settings, update specific properties, and even add new ones if needed. 4. **Security Considerations**: Ensure sensitive information like API keys and passwords are stored securely and not exposed in plain text within the YAML file or output. 5. **Documentation & Testing**: Provide comprehensive documentation on how to use your configuration management tool and include unit tests to verify its functionality. The goal is to streamline the process of managing application configurations while keeping the solution simple and efficient. Use the 'application-properties' package to handle the underlying storage and retrieval of these properties, focusing instead on building an intuitive CLI for interaction.
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