amplify-excel-migrator

v1.6.11 safe
3.0
Low Risk

A CLI tool to migrate Excel data to AWS Amplify

🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk indicators and no direct evidence of malicious intent. The primary concern lies with the maintainer having only one package, suggesting potential lack of community trust or activity.

  • Low network, shell, obfuscation, and credential risks
  • Maintainer has only one package
Per-check LLM notes
  • Network: Network calls are expected if the package is designed to interact with external APIs for migration purposes.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity related to stealing credentials.
  • Metadata: The maintainer has only one package, which could indicate a new or less active account.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 20 test file(s) found

  • 20 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (10967 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

  • 115 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in EyalPoly/amplify-excel-migrator
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • try: response = requests.post(self.api_endpoint, headers=headers, json=payload)
  • st[Dict]]: async with aiohttp.ClientSession() as session: duplicate_checks = [
  • d_client): async with aiohttp.ClientSession() as session: with pytest.raises(AuthenticationE
  • der=auth) async with aiohttp.ClientSession() as session: with pytest.raises(AuthenticationE
✓ 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: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository EyalPoly/amplify-excel-migrator appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Eyal Politansky" 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 amplify-excel-migrator 
Create a utility named 'Excel2Amplify' that leverages the 'amplify-excel-migrator' package to migrate data from Excel files into AWS Amplify databases. This utility will serve as a bridge between traditional Excel-based data management and modern cloud database solutions, offering users a seamless way to transition their data into a scalable, cloud-based environment.

The application should include the following steps:
1. User authentication: Implement a simple login mechanism using AWS Cognito for secure user access.
2. Data selection: Allow users to select an Excel file containing the data they wish to migrate. Ensure the application supports multiple sheets within the same file.
3. Schema mapping: Provide a UI for users to map Excel columns to corresponding fields in the AWS Amplify database schema. This step ensures data integrity and proper alignment during migration.
4. Migration process: Once the schema mapping is complete, initiate the migration process using the 'amplify-excel-migrator' package. Monitor the progress and display any errors encountered during the process.
5. Post-migration verification: After the migration, allow users to verify the migrated data in the AWS Amplify console or through a custom dashboard provided by the application.

Suggested features:
- Support for various Excel formats (XLS, XLSX)
- Batch migration capability for large datasets
- Real-time progress tracking during the migration process
- Error logging and retry mechanisms for failed migrations
- Export functionality to generate a report of the migration status

How to utilize 'amplify-excel-migrator':
- Use the package's CLI commands to interact with the Excel files and perform the migration tasks. For instance, use 'amplify-excel-migrator import --file path/to/excel/file.xlsx' to initiate the import process. Customize these commands as necessary to fit the application's workflow.

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