🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe with a low risk score due to no signs of obfuscation or credential harvesting. The metadata risk is slightly elevated due to the author having only one package, but this alone does not suggest a supply-chain attack.

No obfuscation patterns detected
No credential harvesting patterns detected
Author has only one package

Per-check LLM notes

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 could indicate a new or less active account.

📦 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/facebook-marke
Brief PyPI description (478 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

107 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)

" try: response = requests.get(url) if response.status_code == requests.status_code

✓ 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-facebook-marketing

Create a social media analytics dashboard using Python that integrates with Facebook Marketing data through the 'airbyte-source-facebook-marketing' package. This application will serve as a tool for marketers to analyze their ad performance, audience insights, and campaign effectiveness in real-time. Here are the steps and features to implement:

1. **Setup Environment**: Begin by setting up a Python environment and installing necessary packages including 'airbyte-source-facebook-marketing', pandas, and streamlit.
2. **Authentication**: Implement a secure way to authenticate with Facebook Marketing API using OAuth 2.0. Ensure that user credentials are stored securely and never exposed in the code.
3. **Data Extraction**: Use 'airbyte-source-facebook-marketing' to extract relevant marketing data such as ad impressions, clicks, reach, and demographic information from Facebook. Customize the extraction process to fetch only the required metrics and dimensions.
4. **Data Processing**: Process the extracted data using pandas to clean, transform, and aggregate it into meaningful insights. For example, calculate ROI, CPC, and CPM for each ad campaign.
5. **Dashboard Creation**: Develop a simple yet effective dashboard using Streamlit where users can visualize the processed data. Include interactive widgets to filter data based on date range, campaign name, and ad set.
6. **Real-Time Updates**: Integrate functionality to update the dashboard with new data periodically without requiring manual refreshes. This could involve setting up scheduled jobs or listening for data changes from the Facebook Marketing API.
7. **Reporting**: Allow users to generate reports in PDF or CSV format directly from the dashboard. These reports should include key performance indicators (KPIs) and visualizations of trends over time.
8. **User Interface**: Design a user-friendly interface that provides easy navigation and intuitive controls. Make sure the design is responsive and works well on both desktop and mobile devices.
9. **Documentation**: Provide comprehensive documentation for setting up the application, including how to configure it with different Facebook accounts and how to interpret the data presented in the dashboard.

By following these steps, you'll create a powerful yet accessible tool for marketers to gain deeper insights into their Facebook advertising efforts.