AsyncLoad

v0.1.4 safe
3.0
Low Risk

Asynchronous HTTP Load Testing Tool with Database Storage and Betterstack Integration

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate for its intended purpose with minimal risks identified. The primary concern lies in its metadata, which suggests it may be new or poorly maintained.

  • Low network risk due to expected aiohttp usage
  • No shell execution or obfuscation detected
  • Metadata suggests possible maintenance issues
Per-check LLM notes
  • Network: The use of aiohttp.ClientSession indicates network requests, which could be legitimate for an 'AsyncLoad' package if it involves asynchronous loading or fetching resources.
  • Shell: No shell execution patterns detected, suggesting low risk in this area.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
  • Metadata: The package shows signs of being new or poorly maintained, which could indicate potential risks.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • =conreq) client = aiohttp.ClientSession(connector=connector, timeout=timeout) start_exec
✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 AsyncLoad 
Develop a fully functional mini-application named 'LoadTestMaster' using the Python package 'AsyncLoad'. This application will serve as a robust tool for developers to perform asynchronous HTTP load testing on their web applications, storing results in a database, and integrating with Betterstack for real-time monitoring and alerting.

Step-by-Step Instructions:
1. Begin by setting up a basic Flask or FastAPI server to host your application. Ensure it includes endpoints for initiating load tests, retrieving test results, and configuring settings like concurrency levels and request payloads.
2. Utilize the 'AsyncLoad' package to implement the core functionality of asynchronous HTTP load testing. Your application should allow users to specify URLs, request methods (GET, POST, etc.), headers, and payloads for the load tests.
3. Integrate a database (such as PostgreSQL or SQLite) to store the results of each load test. Each entry should include metrics such as response time, status codes, and any errors encountered during the test.
4. Implement a user-friendly interface (via HTML/CSS/JavaScript or a command-line interface) that allows users to input the necessary parameters for the load tests and view the stored results.
5. Enhance the application by adding features such as:
   - Real-time progress updates during load tests.
   - Historical data visualization for past tests.
   - Configuration options for logging and error handling.
6. Finally, integrate 'Betterstack' into your application for real-time monitoring and alerting. Configure it to send notifications when certain thresholds are met or exceeded based on the load test results.

Suggested Features:
- Ability to schedule load tests at specific times.
- Support for multiple concurrent load tests.
- Detailed analytics and reporting on test performance.
- Customizable alerts and notifications based on test outcomes.

How 'AsyncLoad' is Utilized:
- Use 'AsyncLoad' to handle the asynchronous nature of the HTTP requests during load testing, ensuring efficient use of resources and accurate simulation of high-concurrency scenarios.
- Leverage 'AsyncLoad's database integration capabilities to store and retrieve test results efficiently.
- Explore 'AsyncLoad's Betterstack integration to facilitate seamless real-time monitoring and alerting without needing complex setup configurations.