AI Analysis
Final verdict: SAFE
The package exhibits minimal risks across all categories with no network calls, shell executions, or obfuscations detected. The only notable concern is incomplete author metadata.
- No network calls detected.
- Incomplete author metadata.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author information is incomplete, suggesting a potentially less experienced or cautious maintainer.
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 (2157 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
19 type-annotated function signatures detected in source
✦ High
Multiple Contributors
8.0
Active multi-contributor project
4 unique contributor(s) across 41 commits in airo-ugent/airo-ipcSmall 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: ugent.be>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository airo-ugent/airo-ipc appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 airo-ipc
Create a real-time data streaming application using the 'airo-ipc' package for inter-process communication in AIRO environments. This application will serve as a bridge between different AIRO components, enabling seamless data exchange across various processes. Your task is to develop a mini-application that includes the following functionalities: 1. **Data Collection Module**: Implement a module that collects data from multiple sources (simulated or real). These sources could include sensors, APIs, or any other relevant data producers. 2. **IPC Communication Module**: Utilize the 'airo-ipc' package to set up communication channels between the data collection module and a processing module. Ensure that the IPC framework supports efficient and reliable message passing. 3. **Data Processing Module**: Develop a module that processes the incoming data streams. This could involve filtering, aggregation, transformation, or any other form of data manipulation required for your use case. 4. **Visualization Module**: Integrate a visualization component that displays the processed data in real-time. This could be a simple console-based output or a more advanced graphical user interface. 5. **Error Handling and Logging**: Implement robust error handling and logging mechanisms to ensure that any issues during data collection, processing, or communication are properly recorded and managed. 6. **Scalability and Performance Optimization**: Design the application to handle increased loads efficiently. Consider how you might scale the system if additional data sources or processing requirements were added. Your goal is to demonstrate how 'airo-ipc' can facilitate complex data workflows in AIRO environments, making it easier to integrate disparate systems and improve overall system performance and reliability.