🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk indicators with no network calls, shell executions, or obfuscation techniques observed. The only notable concern is the maintainer's single package history, which may suggest a new or less active developer.

No network calls detected
No shell execution detected
Maintainer has only one package

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communication.
Shell: No shell execution detected, indicating the package does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags were raised.

📦 Package Quality Overall: Medium (5.0/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://docs.airbyte.com/integrations/sources/couchbase
Brief PyPI description (460 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

11 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

14 unique contributor(s) across 100 commits in airbytehq/airbyte
Active community — 5 or more distinct contributors

🔬 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: couchbase.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository airbytehq/airbyte appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Kaustav Ghosh" 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 airbyte-source-couchbase

Develop a data extraction tool using Python that leverages the 'airbyte-source-couchbase' package to extract data from a Couchbase database and export it to a CSV file for analysis. This mini-application will serve as a bridge between your Couchbase database and your data analytics tools, making it easier to work with the data stored within Couchbase. Here’s a detailed breakdown of the steps and features you should include in your project:

1. **Setup**: Begin by setting up your development environment with Python and the necessary dependencies including the 'airbyte-source-couchbase' package. Ensure that you have access to a Couchbase database with some sample data to test your application.
2. **Configuration**: Create a configuration file where users can specify the connection details to their Couchbase database, such as host, port, username, password, and bucket name. Additionally, allow users to select which specific collections/documents they want to extract.
3. **Data Extraction**: Implement the core functionality of extracting data from the specified Couchbase bucket(s)/collection(s). Utilize the 'airbyte-source-couchbase' package to connect to the database and fetch the required data efficiently.
4. **Data Transformation**: Once the data is extracted, transform it into a format suitable for CSV export. This might involve flattening nested JSON structures if your Couchbase documents contain complex schemas.
5. **CSV Export**: Write the transformed data to a CSV file. Provide options for customizing the output filename and directory location.
6. **Error Handling and Logging**: Ensure that your application includes robust error handling mechanisms to manage issues like invalid credentials, network errors, or unsupported document types. Log these errors for debugging purposes.
7. **User Interface**: While not mandatory, consider adding a simple command-line interface (CLI) or even a basic GUI for users to interact with your tool more intuitively.
8. **Documentation**: Finally, write comprehensive documentation explaining how to install and use your tool, including examples of how to configure it for different scenarios.

By following these steps, you'll create a versatile tool that simplifies the process of exporting data from Couchbase databases, making it accessible for analysts and developers alike.