ai-factory-sdk

v0.1.1 suspicious
5.0
Medium Risk

Python SDK for the AI Factory Compute API

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low individual risks but has missing metadata details like author information and lacks an associated GitHub repository, raising concerns about its origin and maintenance.

  • missing author information
  • no associated GitHub repository
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating no immediate risk of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some red flags, such as missing author information and no associated GitHub repository, but there's not enough evidence to conclude it's malicious.

📦 Package Quality Overall: Low (2.8/10)

○ 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 (4760 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

  • Classifier: Typing :: Typed
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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: ai-at.eu>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 ai-factory-sdk 
Create a Python-based mini-application that leverages the 'ai-factory-sdk' package to manage and optimize computational tasks for machine learning models hosted on the AI Factory platform. Your application will serve as a user-friendly interface for developers and data scientists to easily submit, monitor, and manage their ML jobs without needing to directly interact with the AI Factory Compute API.

Step 1: Set up your development environment with Python and install the 'ai-factory-sdk'.
Step 2: Design a command-line interface (CLI) where users can input commands to perform actions like job submission, status checking, and cancellation.
Step 3: Implement functionality within the CLI to connect to the AI Factory service using the 'ai-factory-sdk', allowing users to authenticate and access their resources.
Step 4: Develop features to allow users to upload datasets, specify model configurations, and define computational requirements for their jobs.
Step 5: Integrate real-time monitoring capabilities so users can track the progress of their submitted jobs, including details such as resource usage and estimated completion times.
Step 6: Add error handling and logging mechanisms to ensure robustness and ease of debugging.

Suggested Features:
- Job history tracking
- Support for multiple concurrent jobs
- Integration with popular ML frameworks (e.g., TensorFlow, PyTorch)
- Customizable notifications for job statuses (email, SMS)
- Advanced options for tuning computational resources

The 'ai-factory-sdk' package will be utilized extensively throughout the project, particularly in steps involving authentication, job management, and real-time monitoring. It provides essential APIs that simplify interactions with the AI Factory Compute service, enabling efficient execution and management of ML tasks.