Technology Stack Evaluator

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

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)

Tech Stack Evaluator