airo-ipc

v0.3.0 safe
4.0
Medium Risk

IPC framework for AIRO.

🤖 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-ipc
  • 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: 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 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 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.