async-timer

v1.3.2 safe
3.0
Low Risk

The missing Python async timer.

🤖 AI Analysis

Final verdict: SAFE

The async-timer package has minimal risks as it does not engage in network calls, shell executions, or any form of obfuscation that could indicate malicious behavior. The primary concern is the incomplete maintainer's author information.

  • No network calls or shell executions detected.
  • Incomplete maintainer's author information.
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on asynchronous timing tasks.
  • Shell: No shell execution detected, aligning with the expected functionality of an async timer library.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The maintainer's author information is incomplete, indicating potential lack of transparency.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 22 test file(s) found

  • Test runner config found: pyproject.toml
  • Test runner config found: conftest.py
  • 22 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (11426 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 34 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 29 commits in IljaOrlovs/async-timer
  • 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

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository IljaOrlovs/async-timer 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 async-timer 
Create a fully-functional mini-application called 'AsyncScheduler' that leverages the 'async-timer' Python package to manage scheduled tasks in an asynchronous environment. This application will serve as a powerful tool for developers and system administrators who need to run various tasks at specific intervals without blocking other operations. Here’s a step-by-step guide on what your application should achieve and how it will utilize the 'async-timer' package:

1. **Application Overview**: AsyncScheduler is designed to schedule and execute tasks asynchronously using the 'async-timer' package. It supports adding, modifying, and deleting scheduled tasks, as well as pausing and resuming task execution.

2. **Core Features**:
   - Users should be able to define tasks with custom functions and specify when these tasks should run (e.g., every minute, after 5 seconds).
   - Implement a user-friendly interface where users can add new tasks, view existing tasks, modify task schedules, and delete tasks.
   - Provide options to pause and resume all tasks or individual tasks.
   - Ensure that the application logs each task's start and end times, along with any exceptions raised during execution.

3. **Using 'async-timer' Package**: Integrate the 'async-timer' package to handle the scheduling of tasks. Use its core functionalities such as setting up periodic timers, one-time timers, and canceling timers to manage the lifecycle of scheduled tasks effectively.

4. **Implementation Steps**:
   - Step 1: Set up the development environment including installing the necessary packages like 'async-timer'.
   - Step 2: Design the main application logic that interacts with the 'async-timer' package to schedule tasks.
   - Step 3: Develop a command-line interface (CLI) for users to interact with the scheduler easily.
   - Step 4: Implement logging functionality to keep track of task executions.
   - Step 5: Test the application thoroughly with different scenarios to ensure reliability and accuracy.

5. **Optional Enhancements**:
   - Add support for specifying task priorities.
   - Allow users to define tasks using configuration files instead of just through the CLI.
   - Implement a web-based UI for managing tasks.

By following these steps, you'll create a robust and versatile asynchronous task scheduler that leverages the power of the 'async-timer' package.

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