azubar

v0.0.4.1 safe
3.0
Low Risk

A progress bar creator

🤖 AI Analysis

Final verdict: SAFE

The package azubar appears safe based on the analysis with no indications of malicious activities such as network calls, shell executions, or credential harvesting. The metadata risk slightly increases due to the maintainer's limited experience.

  • No network calls detected.
  • No shell execution patterns detected.
  • No obfuscation or credential harvesting detected.
  • Maintainer has only one package.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity related to secret or credential theft.
  • Metadata: The maintainer has only one package, indicating potential inexperience or an inactive account.

📦 Package Quality Overall: Low (4.2/10)

○ 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 (1437 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

  • 22 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 25 commits in Kazekawa-azusa/azubar
  • Small but multi-author team (3–4 contributors)

🔬 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

Repository Kazekawa-azusa/azubar appears legitimate

Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Kazekawa-azusa" 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 azubar
Create a command-line utility named 'TaskMaster' using Python that leverages the 'azubar' package to manage and display progress of various tasks. TaskMaster should allow users to define different types of tasks (e.g., file operations, database queries, web requests) and monitor their progress through customizable progress bars. Here's a detailed breakdown of the project steps and features:

1. **Setup Environment**: Ensure you have Python installed along with 'azubar'. Install any other necessary packages such as requests for making HTTP calls.
2. **Define Tasks**: Implement a class-based system where each task type (file operation, database query, web request) is represented by a distinct class inheriting from a base Task class. Each task class should have methods to initialize, execute, and report progress.
3. **Progress Bar Customization**: Use 'azubar' to create customizable progress bars. Allow users to specify the style, color, and length of the progress bars through command-line arguments or configuration files.
4. **Execution Loop**: Write a main function that accepts a list of tasks and executes them sequentially or concurrently. For concurrent execution, use Python's threading or asyncio libraries.
5. **Real-time Progress Updates**: During task execution, update the progress bar based on the feedback received from each task's execution method. This could involve calculating completion percentage or incrementing a counter.
6. **Error Handling**: Implement robust error handling to catch exceptions during task execution and provide meaningful error messages or fallback options.
7. **Logging and Reporting**: After all tasks are completed, generate a log file detailing the status of each task, including start time, end time, duration, and any errors encountered.
8. **User Interface**: Although it's a CLI app, ensure the interface is user-friendly, providing clear instructions and usage examples in the help section.
9. **Testing**: Develop a comprehensive set of tests to validate the functionality of TaskMaster, focusing on both positive cases (tasks executing successfully) and negative cases (tasks failing).
10. **Documentation**: Provide thorough documentation covering installation, configuration, and usage of TaskMaster. Include examples of how to define custom tasks and customize progress bars.

By following these steps, you'll create a versatile tool that not only showcases the capabilities of 'azubar' but also provides practical value in managing and visualizing task progress.

💬 Discussion Feed

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