alibabacloud-pai-dsw20220101

v2.4.0 safe
3.0
Low Risk

Alibaba Cloud pai-dsw (20220101) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate, with low risks associated with obfuscation, credential harvesting, and metadata.

  • Low obfuscation risk
  • No credential harvesting patterns
  • Single package from author
Per-check LLM notes
  • Obfuscation: The observed pattern is likely a method to dynamically import and access the version of a required package, rather than an attempt at obfuscation.
  • Credentials: No patterns indicative of credential harvesting were detected.
  • Metadata: The author has only one package, which might indicate a new or less active account, but no other suspicious activities were detected.

📦 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 (1187 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
  • 162 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-pai-dsw20220101 
Create a Python-based mini-application that leverages the 'alibabacloud-pai-dsw20220101' package to manage Jupyter notebooks and other development environments hosted on Alibaba Cloud's PAI DSW service. This application will serve as a personal dashboard for users to interact with their cloud-hosted development environments, including functionalities such as starting/stopping environments, managing resources, and deploying code directly from the dashboard. Here's a step-by-step guide to building this application:

1. **Setup Environment**: Ensure you have Python installed along with pip. Install the required packages, including 'alibabacloud-pai-dsw20220101', using pip.

2. **Authentication**: Implement a secure method for users to authenticate with their Alibaba Cloud account. Use environment variables or a configuration file to store credentials securely.

3. **Dashboard Creation**: Develop a simple command-line interface (CLI) or a basic web-based dashboard using Flask or Django. The dashboard should allow users to log in, view available environments, and perform actions on them.

4. **Environment Management**: Utilize the 'alibabacloud-pai-dsw20220101' package to start, stop, and manage Jupyter notebook instances hosted on Alibaba Cloud. Implement functions within your application that call these SDK methods to control the lifecycle of the environments.

5. **Resource Monitoring**: Add functionality to monitor the resource usage (CPU, Memory) of the environments in real-time. Integrate with the appropriate APIs provided by the SDK to fetch and display this information on the dashboard.

6. **Code Deployment**: Allow users to upload their Python scripts or Jupyter notebooks through the dashboard. Implement a feature that deploys these files directly into the cloud-hosted Jupyter environment using the SDK.

7. **Notifications & Alerts**: Set up notifications for critical events like environment crashes or resource overuse. Use the SDK to trigger alerts based on predefined conditions.

8. **User-Friendly Interface**: Make sure the CLI or web interface is user-friendly, providing clear instructions and feedback at each step.

9. **Documentation**: Write comprehensive documentation for your application, detailing how to install it, configure it, and use its various features.

By following these steps, you'll create a powerful tool that simplifies working with cloud-hosted development environments, making it easier for developers to manage their resources and deploy code efficiently.