alibabacloud-eds-aic20230930

v4.28.1 safe
3.0
Low Risk

Alibaba Cloud eds-aic (20230930) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of potential risks, with no network calls, shell executions, or credential harvesting attempts detected. The obfuscation risk is noted as unusual, but without additional context, it cannot be conclusively linked to malicious intent.

  • Unusual obfuscation pattern
  • Single-package author account
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: The obfuscation pattern is unusual and may indicate an attempt to hide the package's true identity or version, but it does not definitively suggest malicious intent without further context.
  • 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 red flags 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 (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
  • 124 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-eds-aic20230930 
Create a Python-based desktop application that integrates with Alibaba Cloud's eds-aic service via the 'alibabacloud-eds-aic20230930' SDK to perform real-time image recognition and classification tasks. This application will serve as a tool for users to upload images from their local file system and receive detailed analysis of the contents within those images, including object detection, scene understanding, and label generation. Here are the key steps and features you should consider implementing:

1. **Setup**: Begin by setting up your development environment with Python 3.x and installing the necessary packages, including 'alibabacloud-eds-aic20230930'. Ensure you have an Alibaba Cloud account and the appropriate credentials to authenticate API calls.

2. **User Interface Design**: Design a simple yet user-friendly graphical user interface (GUI) using a library such as PyQt5 or Tkinter. The GUI should allow users to select images from their local machine through a file dialog.

3. **Image Upload & Processing**: Implement functionality to upload selected images to the Alibaba Cloud eds-aic service using the 'alibabacloud-eds-aic20230930' package. Ensure the process is efficient and handles potential errors gracefully.

4. **Real-Time Analysis**: Once uploaded, use the eds-aic service to perform real-time image analysis. Utilize the SDK's capabilities to detect objects within the image, understand the scene, and generate descriptive labels.

5. **Result Display**: Present the analysis results back to the user in a visually appealing format within the GUI. Include details such as recognized objects, scene descriptions, and confidence levels of each detected item.

6. **Enhanced Features**:
   - **History Log**: Maintain a log of all processed images and their analyses for future reference.
   - **Customizable Filters**: Allow users to filter the types of objects or scenes they want to analyze.
   - **Export Results**: Provide an option to export the analysis results to a PDF or CSV file.

7. **Testing & Optimization**: Thoroughly test the application across various scenarios to ensure reliability and performance. Optimize the code and user experience based on feedback and testing results.

By following these guidelines, you'll develop a powerful and intuitive application that leverages Alibaba Cloud's advanced image recognition technology to provide valuable insights into digital imagery.

💬 Discussion Feed

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