alibabacloud-pai-dlc20201203

v1.9.0 safe
3.0
Low Risk

Alibaba Cloud pai-dlc (20201203) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package appears safe based on the provided analysis notes. It has no network calls, shell executions, or suspicious credential handling practices. The obfuscation and metadata risks are minor and do not strongly indicate any malicious activities.

  • No network calls detected
  • No shell execution detected
  • Minimal obfuscation and metadata risks
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution detected, which is expected as typical Python packages do not execute system commands unless necessary.
  • Obfuscation: The obfuscation pattern is unusual but does not strongly indicate malicious intent; it could be a non-standard way to manage dependencies.
  • Credentials: No suspicious patterns for credential harvesting were detected.
  • Metadata: The package shows minimal risk indicators, with only the maintainer having a single package which could suggest a new or less active account.

📦 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
  • 292 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-dlc20201203 
Create a data processing mini-app using the 'alibabacloud-pai-dlc20201203' Python package. This app will serve as a simple yet powerful tool for users to manage their data processing tasks on Alibaba Cloud's Data Lake Analytics (DLA) service. The application should allow users to upload datasets, execute SQL queries for data analysis, and visualize results directly within the app. Here’s a step-by-step guide to building this application:

1. **Setup and Initialization**: Begin by installing the 'alibabacloud-pai-dlc20201203' package via pip and setting up your Alibaba Cloud credentials.
2. **User Interface**: Design a user-friendly interface where users can log in, view their available datasets, and initiate new data processing tasks.
3. **Data Upload**: Implement functionality to allow users to upload CSV or Parquet files to their DLA workspace.
4. **SQL Query Executor**: Provide a feature where users can input SQL queries to perform various data operations such as filtering, aggregating, joining, etc., on their uploaded datasets.
5. **Visualization**: Integrate a visualization library (such as Matplotlib or Plotly) to display query results graphically.
6. **Result Management**: Enable users to save their query results back to their DLA workspace or download them locally.
7. **Security and Compliance**: Ensure all data transactions are secure and comply with Alibaba Cloud's security standards.
8. **Documentation and Support**: Provide comprehensive documentation and support resources for users to understand and effectively use the app.

Throughout the development process, utilize the 'alibabacloud-pai-dlc20201203' package to interact with Alibaba Cloud's DLA service, executing data operations and managing datasets efficiently. This project aims to demonstrate the capabilities of Alibaba Cloud's DLA service through a practical, user-centric application.

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