atoti-client-directquery-synapse

v0.9.15 suspicious
3.0
Low Risk

Code to use DirectQuery on Azure Synapse Analytics

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk for direct threats but is authored by an account with only one other package, which is somewhat unusual and could indicate a less reputable source.

  • Author has only one other package
  • Metadata risk score is 3 out of 10
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: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package, suggesting a potentially new or less active account which could be suspicious.

📦 Package Quality Overall: Low (4.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.activeviam.com/products/atoti/python-sdk/0.9.15
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in atoti/atoti
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ 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: activeviam.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository atoti/atoti appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "ActiveViam" 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 atoti-client-directquery-synapse 
Create a Python-based mini-application that leverages the 'atoti-client-directquery-synapse' package to interact with Azure Synapse Analytics using DirectQuery. This application will serve as a data exploration tool, allowing users to query large datasets stored in Azure Synapse without loading all the data into memory, thus optimizing performance for real-time analysis. Here are the steps and features your application should include:

1. **Setup**: Begin by installing the necessary packages, including 'atoti-client-directquery-synapse', and configuring the connection details to your Azure Synapse instance.
2. **User Interface**: Develop a simple, intuitive user interface where users can input SQL-like queries directly.
3. **Query Execution**: Implement functionality within the application that uses the 'atoti-client-directquery-synapse' package to execute these queries against the Azure Synapse database in DirectQuery mode. Ensure that the application handles any errors gracefully and provides meaningful feedback.
4. **Data Visualization**: Integrate a library such as Matplotlib or Plotly to visualize the query results in various chart formats (e.g., bar charts, line graphs).
5. **Advanced Features**: Consider adding advanced features like query history, auto-complete for common SQL commands, and the ability to save frequently used queries.
6. **Documentation and Testing**: Write comprehensive documentation explaining how to use the application and set up the environment. Additionally, create unit tests to ensure the reliability of the application's core functionalities.

Your goal is to create a robust, user-friendly tool that demonstrates the power of 'atoti-client-directquery-synapse' in handling complex data queries efficiently.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!