tech-stack-evaluator

name	tech-stack-evaluator
description	Technology stack evaluation and comparison with TCO analysis, security assessment, and ecosystem health scoring. Use when comparing frameworks, evaluating technology stacks, calculating total cost of ownership, assessing migration paths, or analyzing ecosystem viability.
risk	safe
source	community
license	MIT

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

Compare React vs Vue for a SaaS 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 PostgreSQL vs MongoDB for our e-commerce platform.

YAML - Structured input for automation

comparison:
  technologies: ["React", "Vue"]
  use_case: "SaaS dashboard"
  weights:
    ecosystem: 30
    performance: 25
    developer_experience: 45

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.

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 GitHub, 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

Document	Content
references/metrics.md	Detailed scoring algorithms and calculation formulas
references/examples.md	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)