atoti-server-ai-openai

v0.9.15 safe
3.0
Low Risk

Resources to use OpenAI with Atoti

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

🤖 AI Analysis

Final verdict: SAFE

The package shows low risk indicators across all categories with no network calls, shell executions, obfuscation, or credential harvesting. The metadata suggests a new maintainer, but there are no additional red flags.

  • No network calls detected
  • Single package from maintainer
Per-check LLM notes
  • Network: No network calls detected, which is not necessarily suspicious but should be reviewed based on the package's intended functionality.
  • Shell: No shell executions detected, indicating that the package does not appear to execute 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 it may be a new or less active account, but no other red flags are present.

📦 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-ai-openai 
Create a mini-application that integrates natural language processing capabilities into a data analysis dashboard using the 'atoti-server-ai-openai' package. This application will allow users to interact with their data through natural language queries, providing a more intuitive and user-friendly experience. Here are the steps and features to implement:

1. **Setup Environment**: Ensure your environment has Python installed along with the necessary libraries including 'atoti-server-ai-openai'.
2. **Data Integration**: Load a dataset of your choice into the Atoti engine. This dataset could be related to sales data, customer information, or any other relevant business data.
3. **Query Interface**: Develop a simple UI where users can input natural language queries. Use the 'atoti-server-ai-openai' package to translate these queries into SQL-like commands that Atoti can understand and execute.
4. **Result Visualization**: Display the results of the executed queries in a visually appealing format. Utilize Atoti’s visualization capabilities to create charts, tables, and other graphical representations of the data.
5. **Enhanced Features**:
   - Implement auto-suggestions for common queries based on the loaded dataset.
   - Add a feature to highlight or drill down into specific data points within the visualizations.
6. **Deployment**: Once the application is functional, consider deploying it as a web service so it can be accessed remotely.

The 'atoti-server-ai-openai' package plays a crucial role by enabling seamless communication between the natural language input from the user and the structured query execution required by Atoti. It bridges the gap between human-readable instructions and machine-executable code, making data analysis more accessible to non-technical users.

💬 Discussion Feed

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