atoti-client-directquery-jdbc

v0.9.15 safe
3.0
Low Risk

Code to use DirectQuery through JDBC

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity and poses minimal risk. The metadata suggests a possibly new maintainer, but there are no other red flags.

  • No network calls detected
  • Single package from maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package is expected to perform external communications.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags are present.

📦 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-jdbc 
Create a data analytics dashboard application using Python and the 'atoti-client-directquery-jdbc' package. This application will allow users to connect directly to various databases via JDBC, perform complex queries, and visualize the results in real-time without loading all the data into memory. The app should include the following features:

1. Database Connection Management: Users should be able to add, remove, and manage connections to different databases. Support for popular database types such as MySQL, PostgreSQL, Oracle, and SQL Server is required.
2. Query Builder: Implement a user-friendly interface where users can write SQL queries or use a visual query builder to construct their queries. The application should support saving and reusing frequently used queries.
3. Real-Time Data Visualization: After executing a query, the application should display the results in real-time charts and graphs. Offer multiple chart types including bar charts, line graphs, pie charts, and scatter plots. Allow customization of these visualizations based on user preferences.
4. Data Filtering and Sorting: Provide options for users to filter and sort the data displayed in the charts dynamically. This could be done via dropdown menus, sliders, or direct input fields.
5. Export Functionality: Users should have the ability to export the query results and visualizations as CSV files or images (PNG/JPEG).
6. Error Handling and Logging: Ensure robust error handling and logging mechanisms are in place to capture any issues during database connection attempts, query executions, or visualization rendering.
7. User Authentication: Implement basic user authentication to secure the application. Only authenticated users should be allowed to connect to databases and execute queries.

The 'atoti-client-directquery-jdbc' package will be utilized to establish and manage connections to the databases using JDBC drivers, execute SQL queries directly from Python without needing to load large datasets into memory, and retrieve the results efficiently for further processing and visualization.

💬 Discussion Feed

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