alibabacloud-paistudio20220112

v2.5.0 safe
3.0
Low Risk

Alibaba Cloud PaiStudio (20220112) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate and safe based on the provided analysis notes. There are no indications of malicious activities or supply-chain attacks.

  • No network calls or shell executions detected.
  • Low metadata risk due to a single package from the author.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution detected, indicating the package does not execute system commands.
  • Metadata: The author has only one package on PyPI, which might indicate a new or less active account, but no other suspicious elements were found.

📦 Package Quality Overall: Low (4.4/10)

○ 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 (1195 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 140 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in aliyun/alibabacloud-python-sdk
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • bacloud-python-sdk" VERSION = __import__(PACKAGE).__version__ REQUIRES = [ "darabonba-core>=1.0.0, <2.0.0
✓ 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: alibabacloud.com

⚠ 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 aliyun/alibabacloud-python-sdk appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Alibaba Cloud SDK" 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 alibabacloud-paistudio20220112 
Create a Python-based application named 'AI Model Organizer' that leverages the Alibaba Cloud PaiStudio SDK (alibabacloud-paistudio20220112) to manage AI models efficiently. This application will allow users to perform various operations such as uploading models to Alibaba Cloud, listing all available models, downloading models from the cloud, and deleting models when they are no longer needed. Additionally, it will provide a feature to monitor the status of model deployments and to scale resources up or down based on usage needs. Users will be able to authenticate using their Alibaba Cloud credentials and interact with the application through a command-line interface (CLI). The application should also include error handling and logging mechanisms to ensure robustness and ease of troubleshooting. Detailed steps and feature descriptions are provided below:

1. **Setup**: Install the necessary dependencies including the alibabacloud-paistudio20220112 package.
2. **Authentication**: Implement a secure method for users to input their Alibaba Cloud access keys.
3. **Model Upload**: Develop a function that allows users to upload local machine learning models to Alibaba Cloud storage.
4. **Model Listing**: Create a feature that lists all models stored in Alibaba Cloud, providing details like name, size, and creation date.
5. **Model Download**: Implement functionality to download models from Alibaba Cloud back to the local machine.
6. **Model Deletion**: Add a command to delete unwanted models from the cloud storage.
7. **Deployment Monitoring**: Integrate real-time monitoring of deployed models to track performance and health metrics.
8. **Resource Scaling**: Allow users to adjust resource allocation for running models dynamically.
9. **Error Handling & Logging**: Ensure that all errors are gracefully handled and logged for future reference.

By utilizing the alibabacloud-paistudio20220112 package, you will be able to interact seamlessly with Alibaba Cloud services and perform these operations efficiently. This project aims to streamline the management of AI models, making it easier for developers and data scientists to deploy, monitor, and manage their models in the cloud.