adaptive-rate-limiter

v1.1.0 safe
3.0
Low Risk

Adaptive rate limiting for API clients with multi-provider support

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential risks. However, the metadata risk due to a new or inactive maintainer account is slightly concerning.

  • No network calls detected
  • New or inactive maintainer account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, which may indicate low effort or potential misuse.

🔬 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: sbang.dev>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository sethbang/adaptive-rate-limiter 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 adaptive-rate-limiter 
Develop a mini-application called 'API Access Manager' that leverages the 'adaptive-rate-limiter' Python package to manage API access across multiple providers efficiently. This application should serve as a robust tool for developers who need to interact with various APIs while ensuring they comply with each provider's rate limits. Here’s a detailed breakdown of the application's functionalities and how to utilize the 'adaptive-rate-limiter' package effectively:

1. **Application Setup**: Start by setting up your development environment with Python and installing the 'adaptive-rate-limiter' package via pip.
2. **Configuration File**: Create a configuration file where users can define their API keys and the corresponding rate limits for different providers. This will allow for easy management and updates.
3. **Rate Limiter Integration**: Integrate the 'adaptive-rate-limiter' package into your application to dynamically adjust rate limits based on real-time usage patterns. This feature ensures that the application can handle varying loads without hitting rate limit thresholds.
4. **Provider Support**: Ensure that your application supports at least three popular API providers (e.g., Twitter, Google Maps, and Stripe). Each provider should have its own set of rules and rate limits defined in the configuration file.
5. **Usage Tracking**: Implement a simple logging mechanism to track API calls and their outcomes. This data can be used to refine the adaptive rate limiting strategy over time.
6. **User Interface**: Develop a basic command-line interface (CLI) that allows users to specify which APIs they want to use and how many requests they plan to make within a certain timeframe.
7. **Error Handling**: Include comprehensive error handling to manage scenarios where rate limits are exceeded or API keys are invalid. Provide clear feedback to the user through the CLI.
8. **Adaptive Learning**: Use the 'adaptive-rate-limiter' package's capabilities to implement an adaptive learning algorithm that adjusts rate limits based on historical data and current traffic patterns. This will help optimize API usage and prevent unnecessary throttling.
9. **Documentation**: Write clear documentation explaining how to configure the application, integrate it with new API providers, and troubleshoot common issues.
10. **Testing**: Finally, thoroughly test the application using mock API responses to simulate various usage scenarios and ensure that the rate limiter works as expected under different conditions.