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

Capability	Description
Technology Comparison	Compare frameworks and libraries with weighted scoring
TCO Analysis

Calculate 5-year total cost including hidden costs | | Ecosystem Health | Assess GitHub metrics, npm adoption, community strength | | Security Assessment | Evaluate vulnerabilities and compliance readiness | | Migration Analysis | Estimate effort, risks, and timeline for migrations | | Cloud Comparison | Compare AWS, Azure, GCP for specific workloads |

---

Quick Start

Compare Two Technologies

CODEBLOCK0

Calculate TCO

CODEBLOCK1

Assess Migration

CODEBLOCK2

---

Input Formats

The evaluator accepts three input formats:

Text - Natural language queries
CODEBLOCK3

YAML - Structured input for automation
CODEBLOCK4

JSON - Programmatic integration

{
  "technologies": ["React", "Vue"],
  "use_case": "SaaS 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.

CODEBLOCK6

tco_calculator.py

Calculate total cost of ownership over multi-year projections.

CODEBLOCK7

ecosystem_analyzer.py

Analyze ecosystem health from GitHub, npm, and community metrics.

CODEBLOCK8

security_assessor.py

Evaluate security posture and compliance readiness.

CODEBLOCK9

migration_analyzer.py

Estimate migration complexity, effort, and risks.

CODEBLOCK10

---

References

Document	Content
INLINECODE0	Detailed scoring algorithms and calculation formulas
INLINECODE1

Input/output examples for all analysis types |
| references/workflows.md | Step-by-step evaluation workflows |

---

Confidence Levels

Level	Score	Interpretation
High	80-100%	Clear winner, strong data
Medium

50-79% | Trade-offs present, moderate uncertainty |
| Low | < 50% | Close call, limited data |

---

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)