alibabacloud-gpdb20160503

v5.3.0 safe
3.0
Low Risk

Alibaba Cloud AnalyticDB for PostgreSQL (20160503) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe based on low risk scores for network and shell risks, as well as credential risks. The moderate obfuscation risk requires closer inspection but does not conclusively point towards malicious activity.

  • Moderate obfuscation pattern
  • No detected network or shell execution risks
  • No credential harvesting patterns
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages not requiring external communications.
  • Shell: No shell execution patterns detected, indicating no risk of command execution from the package.
  • Obfuscation: The observed obfuscation pattern is unusual but does not necessarily indicate malicious intent; it could be an attempt to dynamically import a version from another module.
  • Credentials: No patterns indicative of credential harvesting 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 (1175 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
  • 126 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-gpdb20160503 
Create a data analytics dashboard application using the 'alibabacloud-gpdb20160503' Python package. This application will allow users to connect to an Alibaba Cloud AnalyticDB for PostgreSQL instance, execute SQL queries, visualize query results, and perform basic data analysis tasks such as aggregations and joins. Here are the key steps and features of the application:

1. **Setup**: Install the necessary packages including 'alibabacloud-gpdb20160503', pandas, and a visualization library like matplotlib or seaborn.
2. **Connection**: Implement a connection manager that securely connects to the specified AnalyticDB for PostgreSQL instance using credentials provided by the user.
3. **Query Execution**: Develop a query builder interface where users can input their SQL queries. Ensure the application can handle complex queries and return results efficiently.
4. **Data Visualization**: Integrate a simple yet effective visualization component that can plot various types of graphs based on the query results, such as bar charts, line graphs, and pie charts.
5. **Interactive Dashboard**: Create an interactive dashboard where users can switch between different visualizations and perform basic data manipulations like filtering and sorting.
6. **Advanced Features**: Optionally, implement advanced features such as real-time data streaming from the database to the dashboard, and support for multiple databases within a single session.
7. **Documentation and Testing**: Provide comprehensive documentation for setup, usage, and troubleshooting. Include unit tests to ensure the reliability and robustness of the application.

The 'alibabacloud-gpdb20160503' package will primarily be used for establishing connections to the AnalyticDB for PostgreSQL instance and executing SQL commands. Ensure to leverage its capabilities for efficient data retrieval and manipulation.