🤖 AI Analysis

Final verdict: SAFE

The package has a low risk score due to no network calls, shell executions, obfuscations, or credential harvesting attempts. While the metadata and author activity suggest some caution, there are no clear signs of malicious intent.

Low network and shell risks
No obfuscation or credential harvesting detected
Limited author activity and low-effort metadata

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communications.
Shell: No shell execution detected, indicating no immediate risk of command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low-effort metadata and an author with limited activity, but no clear indicators of malicious intent.

📦 Package Quality Overall: Low (4.6/10)

○ 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 (1562 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

Type checker (mypy / pyright / pytype) referenced in project

✦ High Multiple Contributors 10.0

Active multi-contributor project

18 unique contributor(s) across 100 commits in apache/polaris
Active community — 5 or more distinct 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: polaris.apache.org>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0

✓ Git Repository History

Repository apache/polaris appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with apache-polaris

Create a service discovery and management tool using the Apache Polaris package in Python. This tool will help manage services in a microservices architecture, providing functionalities such as service registration, health checks, and traffic routing. The application should be named 'MicroServiceManager' and it should have the following core features:

1. **Service Registration**: Allow users to register new services with the system. Each service should have a unique name, version, and set of metadata.
2. **Health Checks**: Implement periodic health checks for registered services. These checks should verify if a service is running and responsive. Health status should be updated regularly.
3. **Traffic Routing**: Provide functionality to route traffic to different versions of a service based on certain rules (e.g., percentage-based, round-robin).
4. **Dashboard**: Develop a simple web-based dashboard to monitor the status of all registered services. This dashboard should display real-time information about service health, traffic distribution, and any ongoing issues.
5. **Documentation and Examples**: Include comprehensive documentation and examples on how to use the MicroServiceManager API and integrate it into existing microservice architectures.

To utilize the Apache Polaris package effectively, follow these steps:

- **Setup Environment**: Install the Apache Polaris Python client and configure it according to your environment.
- **Register Services**: Use the Polaris SDK to register each microservice with the necessary metadata.
- **Implement Health Checks**: Leverage Polaris's built-in health check capabilities or create custom checks based on your service needs.
- **Configure Traffic Routing**: Set up rules within Polaris to control how traffic is routed between different versions of a service.
- **Build Dashboard**: Utilize Polaris's APIs to fetch live data for displaying on the dashboard.

Your goal is to create a robust, user-friendly tool that simplifies the management of microservices, ensuring high availability and efficient traffic handling.