AI Analysis
The package appears to be legitimate and safe based on the analysis. While there are some unusual obfuscation techniques and a non-HTTPS link, these do not strongly suggest malicious intent.
- Unusual obfuscation techniques
- Single package from maintainer
- Non-HTTPS link
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network access to function properly.
- Shell: No shell execution patterns detected, indicating no direct command execution risks.
- Obfuscation: The obfuscation technique used is unusual but does not strongly indicate malicious intent; it could be a non-standard method for version management.
- Credentials: No clear patterns of credential harvesting were detected in the provided code snippet.
- Metadata: The maintainer has only one package, which might indicate a new or less active account. There's a non-HTTPS link, but no other red flags.
Package Quality Overall: Low (4.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (1191 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project39 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 100 commits in aliyun/alibabacloud-python-sdkSingle author but highly active (100 commits)
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
bacloud-python-sdk" VERSION = __import__(PACKAGE).__version__ REQUIRES = [ "darabonba-core>=1.0.0, <2.0.0
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: alibabacloud.com
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
Repository aliyun/alibabacloud-python-sdk appears legitimate
1 maintainer concern(s) found
Author "Alibaba Cloud SDK" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a data analytics dashboard app that leverages the power of Alibaba Cloud Hologres using the 'alibabacloud-hologram20220601' Python SDK. This app will serve as a comprehensive tool for visualizing and analyzing large datasets stored in Hologres, providing real-time insights and interactive visualizations. Step 1: Set Up Your Environment - Install Python and necessary libraries including 'alibabacloud-hologram20220601'. - Configure your Alibaba Cloud credentials for access to Hologres. Step 2: Data Retrieval - Use the SDK to connect to a specific Hologres instance and database. - Write functions to retrieve various types of data from Hologres tables. Step 3: Data Processing - Implement data filtering and transformation logic to prepare data for visualization. - Utilize pandas or similar libraries for more complex data manipulation if needed. Step 4: Visualization - Integrate a visualization library such as Matplotlib or Plotly to display the retrieved data. - Create interactive charts and graphs that allow users to explore different dimensions of the data. Step 5: User Interface - Develop a simple web interface using Flask or Django to interact with the backend data retrieval and processing functions. - Ensure the UI is user-friendly and provides clear navigation between different data views. Suggested Features: - Real-time data updates reflecting changes in the Hologres database. - Customizable chart types (line, bar, pie, etc.) based on user selection. - Support for exporting visualizations as images or PDFs. - Advanced filtering options allowing users to narrow down the data displayed. Utilization of 'alibabacloud-hologram20220601': This package will be the backbone of the app, enabling seamless interaction with Hologres databases. It will be used to establish connections, execute queries, handle responses, and manage any errors that occur during data retrieval processes.