🤖 AI Analysis

Final verdict: SAFE

The package is assessed as safe due to its low network, shell, obfuscation, and credential risks. The metadata risk is slightly elevated but does not suggest malicious intent.

Low risk scores across all categories.
No evidence of malicious activity or supply-chain attack.

Per-check LLM notes

Network: Network calls are expected for packages interacting with external APIs like Shopify.
Shell: No shell execution patterns detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author 'Airbyte' has only one package, which may indicate a new or less active account, but no other suspicious activities are flagged.

📦 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/shopify
Brief PyPI description (456 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

217 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 score 1.5

Found 1 network call pattern(s)

self._error_handler, session=requests.Session()) self.user_scopes = self.get_user_scopes(config)

✓ 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: airbyte.io

✓ 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 "Airbyte" 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-shopify

Create a mini-application that serves as a data migration tool between Shopify and a local PostgreSQL database using the 'airbyte-source-shopify' package. This application will allow users to extract data from their Shopify store and load it into a PostgreSQL database, enabling them to perform analytics or integrate their data with other systems.

Step-by-Step Guide:
1. Setup the environment: Ensure Python and PostgreSQL are installed on your machine. Install the required packages including 'airbyte-source-shopify', psycopg2-binary for PostgreSQL interaction, and any other necessary dependencies.
2. Define the Shopify data extraction process: Use the 'airbyte-source-shopify' package to connect to your Shopify store and specify the data types you want to extract (e.g., products, orders, customers).
3. Design the PostgreSQL schema: Create tables in your PostgreSQL database to match the structure of the extracted data from Shopify.
4. Develop the ETL (Extract, Transform, Load) logic: Write Python scripts that use 'airbyte-source-shopify' to extract data from Shopify, transform it if necessary (for example, converting Shopify-specific data formats), and then load it into the PostgreSQL database.
5. Implement error handling and logging: Ensure the application logs errors effectively and handles potential issues during data extraction and loading.
6. Add user interface elements: Develop a simple command-line interface (CLI) that allows users to input their Shopify credentials, select the data they wish to migrate, and start the migration process.
7. Test the application thoroughly: Run various test cases to ensure the application works correctly under different scenarios.
8. Document the application: Provide clear instructions on how to install, configure, and run the application, along with examples and best practices.

Suggested Features:
- Support for multiple Shopify stores.
- Option to schedule automatic data migrations.
- Data validation before insertion into the PostgreSQL database.
- Ability to resume interrupted migrations.
- Detailed reporting on migration progress and status.