alibabacloud-starrocks20221019

v1.6.1 safe
4.0
Medium Risk

Alibaba Cloud starrocks (20221019) SDK Library for Python

πŸ€– AI Analysis

Final verdict: SAFE

The package appears safe with low risks across multiple categories. The use of dynamic imports is somewhat concerning but does not conclusively point towards malicious intent.

  • Low network and shell execution risks
  • Potential obfuscation through dynamic imports
  • No credential or metadata risks identified
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: The use of __import__ to dynamically load the version might indicate an attempt to hide dependencies or implementation details, but it is not definitively malicious.
  • Credentials: No obvious patterns for harvesting credentials or secrets were detected.
  • Metadata: The package has no typosquatting or email domain flags, but the maintainer has only one package, which might indicate a new or less active account.

πŸ“¦ Package Quality Overall: Low (4.4/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—ˆ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1195 chars)
β—‹ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
β—ˆ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 42 type-annotated function signatures detected in source
β—ˆ 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)

πŸ”¬ Heuristic Checks

βœ“ 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
βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ 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
βœ“ 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)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with alibabacloud-starrocks20221019
Create a data analysis tool called 'StarAnalyzer' using the Python package 'alibabacloud-starrocks20221019'. This tool will allow users to connect to a StarRocks database hosted on Alibaba Cloud, execute complex SQL queries, and visualize the results. Here’s a detailed breakdown of the project steps and features:

1. **Setup Environment**: Begin by setting up your development environment. Ensure you have Python installed along with necessary libraries such as pandas for data manipulation and matplotlib/seaborn for data visualization. Install the 'alibabacloud-starrocks20221019' package from PyPI.

2. **Authentication and Connection**: Implement a secure method for authenticating users with their Alibaba Cloud credentials. Use the 'alibabacloud-starrocks20221019' package to establish a connection to the StarRocks database. Make sure to handle exceptions and errors gracefully.

3. **Query Execution**: Develop a feature that allows users to input custom SQL queries directly into the application. Utilize the 'alibabacloud-starrocks20221019' package to execute these queries against the connected StarRocks database. Ensure the application can handle large datasets efficiently.

4. **Data Visualization**: Once the query is executed, fetch the result set and use libraries like pandas and matplotlib to visualize the data. Provide options for different types of charts such as bar charts, line graphs, and pie charts based on the nature of the query results.

5. **Report Generation**: Enable users to save their visualizations as PDF or PNG files. Additionally, allow them to generate reports summarizing the insights derived from the data analysis. Reports should include key metrics, charts, and any relevant notes.

6. **User Interface**: While the initial version can be command-line driven, consider adding a simple graphical user interface (GUI) using Tkinter or PyQt for better user experience. This GUI should facilitate easy interaction with the StarAnalyzer tool.

7. **Documentation and Testing**: Write comprehensive documentation explaining how to install and use the StarAnalyzer tool. Include examples and best practices. Conduct thorough testing to ensure all features work as expected under various conditions.

By utilizing the 'alibabacloud-starrocks20221019' package, you'll be able to leverage its robust functionalities for connecting to and querying StarRocks databases, making it easier to perform real-time data analysis and visualization tasks.

πŸ’¬ Discussion Feed

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