airbyte-source-iterable

v0.7.2 safe
1.0
Low Risk

Source implementation for Iterable.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity based on the provided analysis notes. It has low risk scores across all categories and does not indicate any supply-chain attack.

  • No network calls detected
  • No shell execution patterns detected
  • No obfuscation or credential harvesting attempts
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

📦 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/iterable
  • Detailed PyPI description (4546 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

  • 31 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: 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-iterable 
Create a mini-application called 'IterableDataCollector' that serves as a data extraction tool from Iterable, a popular customer engagement platform. This application will leverage the 'airbyte-source-iterable' Python package to connect to Iterable's API and pull user engagement data such as email open rates, click-through rates, and other relevant metrics. Your task is to design and implement a simple yet powerful command-line interface (CLI) that allows users to specify which data they want to extract and where they wish to save it.

Key Features:
1. User Authentication: Implement a secure method for users to authenticate their Iterable account using OAuth2 or API keys.
2. Data Selection: Allow users to select specific types of data they want to retrieve, such as emails, campaigns, or user segments.
3. Data Export: Provide options for exporting the retrieved data into various formats like CSV, JSON, or directly into a database.
4. Schedule Data Pulls: Enable users to schedule regular data pulls at intervals specified by them (e.g., daily, weekly).
5. Real-time Data Streaming: Implement a feature that streams real-time data from Iterable, allowing for near-instantaneous updates.
6. Error Handling & Logging: Ensure robust error handling and logging mechanisms to track any issues during data retrieval.
7. CLI Interface: Develop a user-friendly CLI that guides users through each step of the process, from authentication to data export.

Utilizing the 'airbyte-source-iterable' package, your application should establish a connection to Iterable's API, authenticate using the provided credentials, and then execute the data retrieval process based on the user's selections. The package's core features, such as handling Iterable's API requests and managing data streams, will be crucial for ensuring the application's functionality and efficiency.

💬 Discussion Feed

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