tech-stack-evaluator

To calculate total cost of ownership for a cloud migration, you need TCO analysis that projects 5-year expenses. This Skill evaluates cloud providers by analyzing migration complexity, timelines, and risks using data-driven metrics.

Ecosystem health scoring assesses community strength, maintenance activity, and long-term viability for framework evaluation. It works by quantifying data-driven metrics to determine if a technology stack remains actively supported and viable over time.

Yes, you can use YAML and JSON inputs to compare technology stacks. The evaluation supports natural language, YAML, and JSON formats to process detailed framework comparisons and security assessments across customizable criteria.

Yes, technology comparison includes security assessment and compliance readiness. The evaluation analyzes the security posture of frameworks and cloud providers to ensure your selected stack meets required compliance standards.

The best way to analyze migration paths for switching frameworks is to estimate complexity, risks, and timelines. This Skill performs migration assessment by evaluating data-driven metrics to map out the transition from an existing stack.

Yes, you need Python with pandas, numpy, and scikit-learn to run TCO analysis. These dependencies enable the data-driven processing required to calculate 5-year costs and score ecosystem health for your tech stack.