airbyte-source-s3

v4.15.6 safe
2.0
Low Risk

Source implementation for S3.

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, obfuscation, or credential harvesting. The maintainer's single package could be a minor concern, but it doesn't signal any malicious intent.

  • No network calls
  • No shell executions
  • No obfuscation
  • No credential harvesting
  • Single package maintained
Per-check LLM notes
  • Network: No network calls suggest the package is not performing external communications which might be unexpected for an S3 source connector.
  • Shell: No shell executions indicate the package does not run system commands, reducing the risk of unexpected behavior or security vulnerabilities.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting secure handling of sensitive information.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account, but there are no other suspicious flags.

📦 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/s3
  • Brief PyPI description (446 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

  • 67 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-s3
Create a data migration tool using the 'airbyte-source-s3' package in Python. This tool will enable users to easily migrate data from Amazon S3 buckets to another storage system of their choice. Your task is to design a user-friendly command-line interface (CLI) application that allows users to specify source S3 buckets and target destinations (e.g., another S3 bucket, Google Cloud Storage, or even a local file system). The application should also support filtering data based on specific criteria such as date ranges or file types before migrating.

Key Features:
1. User Authentication: Implement AWS S3 authentication through environment variables or a configuration file.
2. Data Filtering: Allow users to filter data based on metadata like creation date, last modified date, and file extensions.
3. Progress Tracking: Display real-time progress updates during the migration process.
4. Error Handling: Gracefully handle errors and provide informative messages for troubleshooting.
5. Logging: Log all actions performed during the migration process for auditing purposes.
6. Configuration Management: Enable users to save and load configurations for future use.

How to Use 'airbyte-source-s3':
- Utilize 'airbyte-source-s3' to authenticate and connect to the specified S3 buckets.
- Retrieve metadata about files in the source bucket.
- Apply user-defined filters to select files for migration.
- Transfer selected files to the designated target destination.
- Optionally, compress or encrypt files during transfer based on user preferences.

Your goal is to create a robust, efficient, and user-friendly tool that simplifies the process of migrating data between cloud storage systems.