Tech Stack Evaluator

What This Skill Does

The Tech Stack Evaluator helps users evaluate and compare different technologies, frameworks, and cloud providers. It provides data-driven analysis and actionable recommendations based on user-defined priorities. This is useful for making informed decisions about technology choices and migrations.

When to Use

Compare two technologies for a project Calculate the TCO of a tech stack Assess the health of a technology's ecosystem Evaluate the security of a framework Analyze a migration from one tech stack to another Compare cloud providers for a specific workload

Key Features

Compares technologies with weighted scoring Calculates 5-year total cost of ownership Assesses ecosystem health using Git Hub and npm data Evaluates vulnerabilities and compliance readiness Estimates effort for technology migrations Compares AWS, Azure, and GCP Evaluate and compare technologies, frameworks, and cloud providers with data-driven analysis and actionable recommendations.

Table of Contents

Capabilities

Quick Start

Input Formats Analysis Types Scripts References Capabilities

Compare Two Technologies

Compare React vs Vue for a Saa S dashboard. Priorities: developer productivity (40%), ecosystem (30%), performance (30%).

Calculate TCO

Calculate 5-year TCO for Next.js on Vercel. Team: 8 developers. Hosting: $2500/month. Growth: 40%/year.

Assess Migration

Evaluate migrating from Angular.js to React. Codebase: 50,000 lines, 200 components. Team: 6 developers.

Input Formats

The evaluator accepts three input formats: Text - Natural language queries Compare Postgre SQL vs Mongo DB for our e-commerce platform. YAML - Structured input for automation comparison: technologies: ["React", "Vue"] use_case: "Saa S dashboard" weights: ecosystem: 30 performance: 25 developer_experience: 45 JSON - Programmatic integration { "technologies": ["React", "Vue"], "use_case": "Saa S dashboard" }

Analysis Types

Quick Comparison (200-300 tokens)

Weighted scores and recommendation Top 3 decision factors Confidence level

Standard Analysis (500-800 tokens)

Comparison matrix TCO overview Security summary

Full Report (1200-1500 tokens)

All metrics and calculations Migration analysis Detailed recommendations

Scripts

stack_comparator.py

Compare technologies with customizable weighted criteria. python scripts/stack_comparator.py --help

tco_calculator.py

Calculate total cost of ownership over multi-year projections. python scripts/tco_calculator.py --input assets/sample_input_tco.json

ecosystem_analyzer.py

Analyze ecosystem health from Git Hub, npm, and community metrics. python scripts/ecosystem_analyzer.py --technology react

security_assessor.py

Evaluate security posture and compliance readiness. python scripts/security_assessor.py --technology express --compliance soc2,gdpr

migration_analyzer.py

Estimate migration complexity, effort, and risks. python scripts/migration_analyzer.py --from angular-1.x --to react

References

Confidence Levels

When to Use

Comparing frontend/backend frameworks for new projects Evaluating cloud providers for specific workloads Planning technology migrations with risk assessment Calculating build vs. buy decisions with TCO Assessing open-source library viability

When NOT to Use

Trivial decisions between similar tools (use team preference) Mandated technology choices (decision already made) Emergency production issues (use monitoring tools)Technology Stack Evaluator Evaluate and compare technologies, frameworks, and cloud providers with data-driven analysis and actionable recommendations.

Table of Contents

Capabilities

Quick Start

Input Formats Analysis Types Scripts References Capabilities

Compare Two Technologies

Compare React vs Vue for a Saa S dashboard. Priorities: developer productivity (40%), ecosystem (30%), performance (30%).

Calculate TCO

Calculate 5-year TCO for Next.js on Vercel. Team: 8 developers. Hosting: $2500/month. Growth: 40%/year.

Assess Migration

Evaluate migrating from Angular.js to React. Codebase: 50,000 lines, 200 components. Team: 6 developers.

Input Formats

The evaluator accepts three input formats: Text - Natural language queries Compare Postgre SQL vs Mongo DB for our e-commerce platform. YAML - Structured input for automation comparison: technologies: ["React", "Vue"] use_case: "Saa S dashboard" weights: ecosystem: 30 performance: 25 developer_experience: 45 JSON - Programmatic integration { "technologies": ["React", "Vue"], "use_case": "Saa S dashboard" }

Analysis Types

Quick Comparison (200-300 tokens)

Weighted scores and recommendation Top 3 decision factors Confidence level

Standard Analysis (500-800 tokens)

Comparison matrix TCO overview Security summary

Full Report (1200-1500 tokens)

All metrics and calculations Migration analysis Detailed recommendations

Scripts

stack_comparator.py

Compare technologies with customizable weighted criteria. python scripts/stack_comparator.py --help

tco_calculator.py

Calculate total cost of ownership over multi-year projections. python scripts/tco_calculator.py --input assets/sample_input_tco.json

ecosystem_analyzer.py

Analyze ecosystem health from Git Hub, npm, and community metrics. python scripts/ecosystem_analyzer.py --technology react

security_assessor.py

Evaluate security posture and compliance readiness. python scripts/security_assessor.py --technology express --compliance soc2,gdpr

migration_analyzer.py

Estimate migration complexity, effort, and risks. python scripts/migration_analyzer.py --from angular-1.x --to react

References

Confidence Levels

When to Use

Comparing frontend/backend frameworks for new pr