AI Analysis
While the package shows no immediate signs of malicious intent, such as network calls or shell execution, the low activity and potentially new/inactive maintainer raise concerns about its long-term maintenance and potential for supply-chain attacks.
- Low activity in the repository
- Maintainer may be new or inactive
Per-check LLM notes
- Network: No network calls detected, which is normal for a package without external service dependencies.
- Shell: No shell execution detected, reducing risk of command injection or system compromise.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The low activity in the repository and the maintainer's new or inactive status suggest potential risk.
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (8461 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
34 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 100 commits in cosmo-grant/backoff-simulatorTwo distinct contributors found
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
1 maintainer concern(s) found
Author "Cosmo Grant" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional mini-application named 'NetworkContenderSimulator' using the Python package 'backoff-simulator'. This application will simulate a scenario where multiple clients attempt to write data to a shared resource over a network. Each client will use different backoff strategies to manage contention and prevent overwhelming the network. The application should include the following features: 1. **Client Configuration**: Allow users to define the number of clients attempting to write to the shared resource. 2. **Backoff Strategies**: Implement at least three different backoff strategies such as Exponential Backoff, Fibonacci Backoff, and Constant Backoff. Each strategy should be configurable through user input. 3. **Simulation Parameters**: Users should be able to set parameters like initial delay, maximum delay, and retry limit for each backoff strategy. 4. **Performance Metrics**: Collect and display performance metrics such as total time taken for all writes, average delay per write, and the success rate of write attempts. 5. **Visualization**: Provide a simple graphical interface to visualize the delays and successes over time for each client. 6. **Logging**: Include logging functionality to record detailed information about each write attempt, including timestamps and backoff times. The 'backoff-simulator' package will be utilized to simulate the backoff behaviors of the clients during the write attempts. It will help in understanding how different backoff strategies affect the overall performance and stability of the system under contention. Your task is to design and implement this mini-application, ensuring it is well-documented and easy to use.
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