aws-resource-validator-savingsplans

v2.0.3 safe
3.0
Low Risk

Pydantic v2 models for AWS savingsplans, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all categories with no network calls, shell executions, obfuscations, or credential harvesting attempts detected. The metadata risk is slightly elevated due to the maintainer's minimal profile.

  • No network calls detected
  • Maintainer's author name is missing or very short
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.
  • Metadata: The maintainer's author name is missing or very short and has only one package, indicating potential lack of credibility.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (315 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validator
  • Small but multi-author team (3–4 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository CoreOxide/aws_resource_validator appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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-resource-validator-savingsplans 
Create a Python-based utility called 'SavingsPlanAnalyzer' that leverages the 'aws-resource-validator-savingsplans' package to analyze AWS Savings Plans and optimize cost savings. This utility will help users understand their current Savings Plan utilization and identify areas for improvement. Here’s a detailed breakdown of the project requirements:

1. **User Input**: The utility should allow users to input their AWS credentials securely using the Boto3 library. It should also support loading credentials from environment variables or a configuration file.
2. **Data Fetching**: Utilize the 'aws-resource-validator-savingsplans' package to fetch information about all active Savings Plans in the user's AWS account. Ensure that the fetched data is validated against the Pydantic models provided by the package.
3. **Analysis Module**: Implement an analysis module that calculates the total amount saved through Savings Plans compared to On-Demand pricing. Additionally, compute the percentage of the overall AWS bill that Savings Plans cover.
4. **Recommendations**: Based on the analysis, provide recommendations to the user on how they can further optimize their Savings Plan usage. For example, suggest moving certain instances to a Savings Plan if they have consistent usage patterns.
5. **Visualization**: Integrate a simple plotting library like Matplotlib to visualize the cost savings over time. Display charts showing monthly cost reductions due to Savings Plans.
6. **Report Generation**: Allow users to generate a detailed report in PDF format summarizing the Savings Plan utilization, cost savings, and recommendations. Use a library such as FPDF to handle PDF generation.
7. **CLI Interface**: Develop a command-line interface (CLI) using Click or Argparse that allows users to interact with the utility easily. Include options for running the analysis, viewing the visualizations, and generating reports.
8. **Documentation**: Provide comprehensive documentation on how to install and use the utility, including examples and best practices for optimizing Savings Plan usage.

The 'aws-resource-validator-savingsplans' package is crucial for ensuring that the fetched data is structured correctly and validated against AWS standards. By leveraging this package, you ensure that your utility works seamlessly with AWS Savings Plans data and provides accurate insights and recommendations.

💬 Discussion Feed

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