/tech-stack-evaluator

name: "tech-stack-evaluator"
description: "Compare frameworks or tech stacks before committing: side-by-side scoring, total cost of ownership, ecosystem health and migration risk. Use whenever the user asks which framework to pick, X vs Y, whether to switch stacks, or if a migration is worth it."

Technology Stack Evaluator

Evaluate and compare technologies, frameworks, and cloud providers with data-driven analysis and actionable recommendations.

Table of Contents

• [Capabilities](#capabilities)
• [Quick Start](#quick-start)
• [Input Formats](#input-formats)
• [Analysis Types](#analysis-types)
• [Scripts](#scripts)
• [References](#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 |

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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 |

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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)