AI Analysis
The package shows some level of obfuscation that is uncommon and potentially intended to obscure its behavior, though no definitive malicious activity was detected.
- Uncommon obfuscation techniques
- No direct evidence of malicious intent
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interaction with Alibaba Cloud services.
- Shell: No shell execution patterns detected, indicating no immediate risk of executing arbitrary commands.
- Obfuscation: The obfuscation technique used is not common and may indicate an attempt to hide code behavior, but it's not definitively malicious.
- Credentials: No clear patterns of credential harvesting were detected.
- Metadata: The package has no typosquatting candidates, email domain flags, or suspicious links. The maintainer has a single package which may indicate a new or less active account.
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 (1203 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project158 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 Python-based mini-application that leverages the 'alibabacloud-ehpcinstant20230701' package to manage and monitor high-performance computing (HPC) clusters on Alibaba Cloud. This application will allow users to perform several key actions related to their HPC instances, including starting, stopping, and querying the status of these instances. Additionally, it should provide detailed information about the resources allocated to each instance and offer a simple way to scale up or down based on current workload demands. Steps to develop the application: 1. Set up your development environment with Python and install the necessary packages, including 'alibabacloud-ehpcinstant20230701'. 2. Authenticate your application with Alibaba Cloud using your AccessKey ID and AccessKey Secret. 3. Implement functions to start, stop, and query the status of HPC instances. 4. Add functionality to display detailed information about each instance, such as CPU usage, memory usage, and disk space. 5. Develop a feature that allows users to scale up or down the number of instances based on predefined thresholds or manual input. 6. Create a user-friendly interface (command-line or web-based) for interacting with the application. 7. Test the application thoroughly to ensure all features work as expected. 8. Document the code and provide instructions for setting up and using the application. Suggested Features: - Automatic scaling based on real-time performance metrics. - Integration with other Alibaba Cloud services for enhanced monitoring and alerting. - Detailed logging and reporting capabilities. - Support for multiple regions and zones within Alibaba Cloud. The 'alibabacloud-ehpcinstant20230701' package is utilized throughout the application to interact with the HPC Instant service, enabling the creation, management, and monitoring of HPC instances.
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