aws-cdk.aws-glue-alpha

v2.258.0a0 safe
2.0
Low Risk

The CDK Construct Library for AWS::Glue

🤖 AI Analysis

Final verdict: SAFE

The package shows very low risk indicators across all checks, with no signs of network, shell, obfuscation, or credential risks. It appears to be a legitimate package.

  • No network calls detected
  • No shell execution patterns found
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package that does not require internet access.
  • Shell: No shell execution patterns detected, which is expected for a standard Python package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
  • Metadata: The author has only one package, suggesting it might be new or less active, but no other suspicious activities are flagged.

📦 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 5.0

Some documentation present

  • Detailed PyPI description (35638 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 32 unique contributor(s) across 100 commits in aws/aws-cdk
  • 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository aws/aws-cdk appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Amazon Web Services" 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 aws-cdk.aws-glue-alpha 
Your task is to develop a small, fully-functional utility that leverages the 'aws-cdk.aws-glue-alpha' package to automate data catalog management within AWS Glue. This utility will streamline the process of creating, updating, and deleting tables in AWS Glue Data Catalog, making it easier for developers and data engineers to manage their data assets efficiently.

The application should have the following core functionalities:
1. **Table Creation**: Users should be able to define and create new tables in the AWS Glue Data Catalog. The utility should support various data formats (e.g., Parquet, CSV) and partitioning schemes.
2. **Table Update**: Implement functionality to update existing table definitions, including adding/removing columns, changing column types, and modifying partitioning information.
3. **Table Deletion**: Provide a method to delete tables from the AWS Glue Data Catalog.
4. **Table Listing**: Display a list of all tables currently registered in the specified database within the AWS Glue Data Catalog.
5. **Version Control**: Each operation (create, update, delete) should maintain a version history of the changes made to the table definitions.
6. **Security and Access Management**: Ensure that only authorized users can perform operations on the tables. Use IAM roles and policies to control access.

The application should be designed using the AWS CDK (Cloud Development Kit) and specifically utilize the 'aws-cdk.aws-glue-alpha' package to interact with AWS Glue constructs. Your implementation should demonstrate best practices in AWS CDK development, including the use of constructs, stacks, and resources.

Additionally, the utility should include:
- A command-line interface (CLI) for easy interaction.
- Documentation on how to install, configure, and run the utility.
- Automated tests to ensure the reliability and correctness of the implemented features.

Your goal is to create a tool that simplifies the management of AWS Glue Data Catalog tables, reducing manual effort and potential errors in managing large datasets. This project will serve as a valuable asset for any team working with AWS Glue and the AWS CDK.

💬 Discussion Feed

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