alibabacloud-ververica20220718

v1.10.2 safe
3.0
Low Risk

Alibaba Cloud ververica (20220718) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows low risk indicators, primarily due to a somewhat suspicious obfuscation pattern that might serve legitimate purposes such as version control. There are no signs of malicious intent or external threats.

  • Obfuscation risk noted but likely benign.
  • No network calls or shell executions detected.
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 patterns detected, indicating no direct system command execution.
  • Obfuscation: The obfuscation pattern is suspicious but could be used for legitimate purposes like version checking.
  • Credentials: No clear evidence of credential harvesting techniques.

📦 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 (1195 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
  • 116 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-ververica20220718 
Create a real-time data processing mini-application using Alibaba Cloud Ververica service via the 'alibabacloud-ververica20220718' Python package. This application will allow users to ingest streaming data from various sources such as Kafka, process it through Flink jobs, and visualize the results in real-time. The app should include the following key functionalities:

1. **Data Ingestion**: Allow users to connect to a Kafka cluster and start ingesting data streams.
2. **Flink Job Configuration**: Provide a simple UI to configure Flink jobs, including specifying transformations, aggregations, and windowing operations.
3. **Real-Time Processing**: Utilize Ververica to run Flink jobs in real-time, ensuring low latency processing of incoming data.
4. **Visualization**: Implement a dashboard to display processed data in real-time, highlighting trends and anomalies.
5. **Monitoring & Alerts**: Set up monitoring for the Flink jobs and trigger alerts if any job fails or exceeds predefined thresholds.

The 'alibabacloud-ververica20220718' package will be central to deploying and managing Flink jobs on Ververica. Users should be able to use this package to authenticate, submit jobs, monitor their status, and retrieve logs. Additionally, the application should handle errors gracefully, providing meaningful feedback to users about job statuses and potential issues.

This project aims to showcase the power of real-time data processing on Alibaba Cloud, making complex tasks accessible to developers and data engineers alike.