a-jupyterlite-query-config

v0.2.3 safe
2.0
Low Risk

A JupyterLite extension.

🤖 AI Analysis

Final verdict: SAFE

The package does not exhibit any behaviors indicative of malicious activity. It has minimal risks associated with network and shell interactions, and no signs of credential harvesting.

  • Low network and shell risk
  • No evidence of credential harvesting
  • Potential obfuscation through dynamic imports
Per-check LLM notes
  • Network: No network calls detected, which is typical for a package focused on JupyterLite query configuration.
  • Shell: No shell execution patterns detected, aligning with the expected behavior of a configuration-focused library.
  • Obfuscation: The use of __import__('setuptools').setup() might indicate an attempt to obfuscate the setup process, but it could also be a legitimate method for dynamic module imports.
  • Credentials: No evidence of credential harvesting patterns detected.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • __import__("setuptools").setup() try: from ._version import __version__ except
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: helsinki.fi>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository juntyr/a-jupyterlite-query-config appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 a-jupyterlite-query-config 
Create a mini-application that allows users to customize their JupyterLite environment by querying and configuring settings through a user-friendly interface. This application will utilize the 'a-jupyterlite-query-config' package to facilitate the querying and setting of various configurations within a JupyterLite environment.

Step 1: Set up the basic structure of your application using Python's Flask framework. Ensure you have a clean, modern UI design that makes it easy for users to navigate and interact with the application.

Step 2: Integrate the 'a-jupyterlite-query-config' package into your Flask app. This involves installing the package and importing necessary modules from it to enable querying and configuring JupyterLite settings.

Step 3: Implement a feature that allows users to query current JupyterLite settings. Users should be able to see all available settings or search for specific ones based on keywords or categories.

Step 4: Add functionality for users to modify these settings directly through the application. Provide a form-based interface where users can input new values for different settings, and ensure these changes are saved back to the JupyterLite configuration.

Step 5: Include a validation mechanism that checks if the entered settings are valid according to JupyterLite's specifications before applying them. If invalid, notify the user with an appropriate error message.

Step 6: Enhance user experience by adding features such as saving user preferences, restoring default settings, and providing tooltips or help sections explaining each setting's purpose and impact.

By following these steps and utilizing the 'a-jupyterlite-query-config' package effectively, you'll create a powerful yet accessible tool for managing JupyterLite environments.