ant-ray-cpp-nightly

v2.53.0 suspicious
4.0
Medium Risk

A subpackage of Ray which provides the Ray C++ API.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low individual risks across various categories, but the presence of suspicious non-HTTPS links raises concerns about potential supply-chain attacks or unauthorized access to sensitive information.

  • Suspicious non-HTTPS links
  • No significant red flags but potential for external manipulation
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating no direct system command execution by the package.
  • Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: Suspicious non-HTTPS links but no other significant red flags

📦 Package Quality Overall: Low (3.8/10)

○ 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 (6768 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 47 unique contributor(s) across 100 commits in ray-project/ray
  • 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: googlegroups.com

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://docs.ray.io/en/master/?badge=master
  • Non-HTTPS external link: http://antgroup.github.io/ant-ray/index.html
✓ Git Repository History

Repository ray-project/ray appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Ray Team" 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 ant-ray-cpp-nightly 
Your task is to develop a fully functional mini-application using the 'ant-ray-cpp-nightly' package, which is a subpackage of Ray providing the Ray C++ API. This application will serve as a distributed task execution manager, allowing users to submit tasks for processing across multiple nodes in a cluster environment. Here’s a detailed breakdown of the project requirements and steps to follow:

1. **Project Overview**: Create an application named 'DistributedTaskManager'. This app should allow users to define and submit tasks to a cluster managed by Ray. Each task can be simple computations or more complex operations like data processing.

2. **Features**:
   - User Interface: Develop a basic command-line interface (CLI) for submitting tasks and viewing their status.
   - Task Submission: Users should be able to submit tasks via the CLI. Tasks can include simple arithmetic operations or more complex functions.
   - Distributed Execution: Use 'ant-ray-cpp-nightly' to distribute these tasks across multiple nodes in a simulated cluster environment.
   - Status Monitoring: Implement functionality to monitor the progress and completion status of submitted tasks.

3. **Implementation Steps**:
   - Setup: Install the necessary dependencies including 'ant-ray-cpp-nightly'.
   - Initialization: Initialize the Ray cluster programmatically within your application.
   - Task Definition: Define a few example tasks that users can submit. These could be simple mathematical operations or more complex data processing tasks.
   - Task Submission: Write code to accept user input for task submission through the CLI and use 'ant-ray-cpp-nightly' to execute these tasks across the cluster.
   - Monitoring & Reporting: Implement mechanisms to track task execution and report back to the user on the status of each task.

4. **Utilizing 'ant-ray-cpp-nightly'**:
   - The core feature of 'ant-ray-cpp-nightly' is its ability to provide a seamless C++ API for interfacing with Ray's distributed computing capabilities. Your application should leverage this to efficiently manage task distribution and execution.
   - Pay special attention to error handling and ensuring that tasks are correctly serialized and deserialized when moving between different nodes in the cluster.

5. **Testing**: Conduct thorough testing to ensure that tasks are properly distributed, executed, and reported upon completion. Verify that the system handles errors gracefully and that all features work as expected under various conditions.

6. **Documentation**: Provide clear documentation on how to set up and run the application, including any prerequisites and setup instructions for the Ray cluster.

This project will not only demonstrate the power of distributed computing but also showcase how 'ant-ray-cpp-nightly' can be effectively integrated into applications for managing complex computational tasks.

💬 Discussion Feed

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