alibabacloud-maxcompute20220104

v7.1.0 safe
4.0
Medium Risk

Alibaba Cloud MaxCompute (20220104) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across multiple categories and no signs of malicious activities. The moderate metadata and obfuscation risks do not indicate any serious concerns.

  • No network calls detected
  • No shell execution patterns found
  • Low credential risk
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no direct system command execution is occurring.
  • Obfuscation: The observed obfuscation pattern is not typical of malicious activity but could indicate an unusual or non-standard coding practice.
  • Credentials: No evidence of credential harvesting or secret theft patterns detected.
  • Metadata: The author has only one package, which might indicate a new or less active account. No other red flags were identified.

📦 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 (1199 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
  • 33 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-maxcompute20220104 
Create a data analytics dashboard app using Python that integrates with Alibaba Cloud MaxCompute service. This application will allow users to visualize and analyze large datasets stored in MaxCompute tables. Here are the steps and features you need to implement:

1. **Setup**: Install the required packages including 'alibabacloud-maxcompute20220104' and any necessary visualization libraries such as matplotlib or seaborn.
2. **Authentication**: Implement a secure way to authenticate users with their Alibaba Cloud credentials to access MaxCompute.
3. **Data Fetching**: Utilize the 'alibabacloud-maxcompute20220104' package to fetch data from specified MaxCompute tables into your application.
4. **Data Processing**: Clean and preprocess the fetched data within your application to prepare it for analysis.
5. **Visualization**: Create interactive visualizations of the processed data using the chosen visualization library. Include options for different types of charts (line graphs, bar charts, pie charts, etc.).
6. **Dashboard Creation**: Design an intuitive user interface where users can select which data to view, choose visualization types, and interact with the displayed data.
7. **Custom Queries**: Allow users to input custom SQL queries directly into the application to retrieve specific subsets of data from MaxCompute.
8. **Report Generation**: Enable users to generate reports based on their analysis, which can then be downloaded as PDFs or shared via email.
9. **Documentation**: Provide comprehensive documentation explaining how to use each feature of the application and any prerequisites needed for setup.

This project aims to showcase the power of the 'alibabacloud-maxcompute20220104' package in handling big data analysis tasks efficiently while also demonstrating how to integrate advanced data visualization techniques in a Python-based application.

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