atoti-server-sql-bridge

v0.9.15 suspicious
4.0
Medium Risk

Experimental resources to query the cube with SQL queries

⚠ Tarball exceeded 25 MB — source code analysis was limited to package metadata only.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal direct risks such as network, shell, obfuscation, and credential risks. However, the metadata risk due to the maintainer having only one package is notable, raising suspicion about its legitimacy.

  • Metadata risk due to single-package maintainer
  • Lack of package description
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, suggesting a new or less active account which could be suspicious.

📦 Package Quality Overall: Low (3.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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-server-sql-bridge 
Create a financial analysis dashboard using Python and the 'atoti-server-sql-bridge' package. This mini-project will allow users to perform complex SQL queries on financial data stored in an atoti server instance, providing real-time insights into financial metrics such as revenue trends, profit margins, and customer spending patterns.

Steps to complete this project:
1. Set up an atoti server instance and load sample financial datasets (e.g., sales data, expenses, customer information).
2. Use the 'atoti-server-sql-bridge' package to connect your Python application to the atoti server instance.
3. Implement a simple web interface (using Flask or Django) where users can input their SQL queries.
4. Execute these SQL queries against the atoti server and display the results back to the user in a readable format.
5. Add interactive visualizations (using libraries like Plotly or Matplotlib) based on the queried data to enhance the dashboard's usability.
6. Include features like query history, error handling for invalid SQL inputs, and documentation for supported SQL commands.
7. Ensure the application can handle multiple concurrent users and secure access to the atoti server.

Suggested Features:
- Real-time query execution with instant feedback.
- Support for advanced SQL operations like JOINs, GROUP BY, and aggregate functions.
- Customizable visualizations allowing users to choose between bar charts, line graphs, pie charts, etc.
- User authentication and role-based access control to ensure data security.
- Detailed explanations of common SQL queries relevant to financial analysis.
- Integration with external data sources for more comprehensive analysis.

The 'atoti-server-sql-bridge' package will be used primarily for establishing a connection to the atoti server and executing SQL queries against the loaded datasets. This will enable you to leverage the powerful analytical capabilities of atoti while providing users with a familiar SQL interface for querying and analyzing financial data.

💬 Discussion Feed

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