atoti-client-directquery-snowflake

v0.9.15 suspicious
4.0
Medium Risk

Code to use DirectQuery on Snowflake

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious intent based on the current analysis. However, its lack of description and the author having only one other package raise concerns about potential supply-chain risks.

  • Lack of package description
  • Author has only one other package
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity unless the package's purpose involves external communication.
  • Shell: No shell execution patterns detected, aligning with expectations for a typical client library that does not require system-level operations.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package, which may indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 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-snowflake 
Develop a data analytics dashboard application using Python that integrates with Snowflake via the 'atoti-client-directquery-snowflake' package. This application will allow users to query and visualize data stored in Snowflake directly without needing to download it locally, leveraging the power of DirectQuery. The app should include the following features:

1. **User Authentication**: Implement a simple login system where users can authenticate themselves using their Snowflake credentials.
2. **Data Querying**: Allow users to execute SQL queries directly against their Snowflake database. The application should support complex queries and return results quickly due to the DirectQuery feature.
3. **Real-Time Data Visualization**: Display the queried data in real-time charts and graphs using a library like Plotly or Matplotlib. Users should be able to choose from various types of visualizations such as line graphs, bar charts, pie charts, etc.
4. **Interactive Dashboard**: Create an interactive dashboard where users can filter and manipulate the displayed data dynamically. For example, they could change the time range of a graph or select specific columns to view.
5. **Custom Queries**: Provide a feature where users can save their frequently used queries for quick access.
6. **Export Options**: Enable users to export the visualized data into common formats like CSV, Excel, or PDF.
7. **Documentation and Help**: Include comprehensive documentation and a help section within the application to guide users through its functionalities.

To achieve these goals, you'll need to utilize the 'atoti-client-directquery-snowflake' package to establish a connection to Snowflake, execute queries, and handle the returned data efficiently. Additionally, consider using Flask or Django for the backend web framework and React or Angular for the frontend to create a responsive and user-friendly interface.

💬 Discussion Feed

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