airbyte-source-salesforce

v2.7.23 safe
3.0
Low Risk

Source implementation for Salesforce.

🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risks across all assessed categories, indicating it is likely safe to use. There are no signs of malicious activity or supply-chain attacks.

  • Low network, shell, obfuscation, and credential risks.
  • No evidence of supply-chain attack vectors.
Per-check LLM notes
  • Network: The network call pattern indicates standard HTTP session management, likely for API interactions with Salesforce.
  • 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 has only one package, suggesting it may be a new or less active account, but no other red flags are present.

📦 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/salesforce
  • Brief PyPI description (462 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

  • 76 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)

  • l = "" self.session = requests.Session() # Change the connection pool size. Default value i
✓ 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-salesforce 
Create a data migration tool that leverages the 'airbyte-source-salesforce' package to extract data from Salesforce and load it into a PostgreSQL database. This tool will serve as a bridge between Salesforce CRM and a relational database management system, enabling users to easily migrate their customer relationship data for analysis or backup purposes.

The application should perform the following steps:
1. Authenticate with Salesforce using OAuth2 to obtain access tokens necessary for API calls.
2. List available Salesforce objects (e.g., Account, Contact, Opportunity) and allow the user to select which ones they want to export.
3. Retrieve data from the selected Salesforce objects, respecting pagination and rate limits to avoid hitting API limits.
4. Transform the retrieved data into a format suitable for insertion into a PostgreSQL database, including handling of nested data structures and relationships.
5. Connect to a PostgreSQL database and create the necessary tables based on the Salesforce object schema.
6. Insert the transformed data into the PostgreSQL database, ensuring referential integrity where applicable.
7. Provide a simple UI or command-line interface for users to interact with the tool, including options to start, stop, and monitor the migration process.
8. Implement logging to track the progress of the migration, including errors and successes.

Some additional features could include:
- Support for incremental data loading based on timestamps or other criteria.
- Ability to handle large datasets efficiently, possibly using batch processing techniques.
- User-friendly error handling and recovery mechanisms.
- Scheduling capabilities to run migrations at regular intervals.
- Data validation before insertion into the PostgreSQL database.

The 'airbyte-source-salesforce' package is utilized to authenticate with Salesforce and retrieve data from specified objects. It provides the necessary functionality to interact with the Salesforce API, including handling authentication and fetching data in a structured manner. The retrieved data will then be processed and loaded into the PostgreSQL database according to the user's specifications.

💬 Discussion Feed

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