Technology Evaluation Metrics
Detailed metrics and calculations used in technology stack evaluation.
Table of Contents
Scoring and Comparison
Technology Comparison Matrix
| Metric |
Scale |
Description |
| Feature Completeness |
0-100 |
Coverage of required features |
| Learning Curve |
Easy/Medium/Hard |
Time to developer proficiency |
| Developer Experience |
0-100 |
Tooling, debugging, workflow quality |
| Documentation Quality |
0-10 |
Completeness, clarity, examples |
Weighted Scoring Algorithm
The comparator uses normalized weighted scoring:
# Default category weights (sum to 100%)
weights = {
"performance": 15,
"scalability": 15,
"developer_experience": 20,
"ecosystem": 15,
"learning_curve": 10,
"documentation": 10,
"community_support": 10,
"enterprise_readiness": 5
}
# Final score calculation
weighted_score = sum(category_score * weight / 100 for each category)
Confidence Scoring
Confidence is calculated based on score gap between top options:
| Score Gap |
Confidence Level |
| < 5 points |
Low (40-50%) |
| 5-15 points |
Medium (50-70%) |
| > 15 points |
High (70-100%) |
Financial Calculations
TCO Components
Initial Costs (One-Time)
- Licensing fees
- Training:
team_size * hours_per_dev * hourly_rate + materials
- Migration costs
- Setup and tooling
Operational Costs (Annual)
- Licensing renewals
- Hosting:
base_cost * (1 + growth_rate)^(year - 1)
- Support contracts
- Maintenance:
team_size * hours_per_dev_monthly * hourly_rate * 12
Scaling Costs
- Infrastructure:
servers * cost_per_server * 12
- Cost per user:
total_yearly_cost / user_count
ROI Calculations
productivity_value = additional_features_per_year * avg_feature_value
net_tco = total_cost - (productivity_value * years)
roi_percentage = (benefits - costs) / costs * 100
Cost Per Metric Reference
| Metric |
Description |
| Cost per user |
Monthly or yearly per active user |
| Cost per API request |
Average cost per 1000 requests |
| Cost per GB |
Storage and transfer costs |
| Cost per compute hour |
Processing time costs |
Ecosystem Health Metrics
GitHub Health Score (0-100)
| Metric |
Max Points |
Thresholds |
| Stars |
30 |
50K+: 30, 20K+: 25, 10K+: 20, 5K+: 15, 1K+: 10 |
| Forks |
20 |
10K+: 20, 5K+: 15, 2K+: 12, 1K+: 10 |
| Contributors |
20 |
500+: 20, 200+: 15, 100+: 12, 50+: 10 |
| Commits/month |
30 |
100+: 30, 50+: 25, 25+: 20, 10+: 15 |
npm Health Score (0-100)
| Metric |
Max Points |
Thresholds |
| Weekly downloads |
40 |
1M+: 40, 500K+: 35, 100K+: 30, 50K+: 25, 10K+: 20 |
| Major version |
20 |
v5+: 20, v3+: 15, v1+: 10 |
| Dependencies |
20 |
≤10: 20, ≤25: 15, ≤50: 10 (fewer is better) |
| Days since publish |
20 |
≤30: 20, ≤90: 15, ≤180: 10, ≤365: 5 |
Community Health Score (0-100)
| Metric |
Max Points |
Thresholds |
| Stack Overflow questions |
25 |
50K+: 25, 20K+: 20, 10K+: 15, 5K+: 10 |
| Job postings |
25 |
5K+: 25, 2K+: 20, 1K+: 15, 500+: 10 |
| Tutorials |
25 |
1K+: 25, 500+: 20, 200+: 15, 100+: 10 |
| Forum/Discord members |
25 |
50K+: 25, 20K+: 20, 10K+: 15, 5K+: 10 |
Corporate Backing Score
| Backing Type |
Score |
| Major tech company (Google, Microsoft, Meta) |
100 |
| Established company (Vercel, HashiCorp) |
80 |
| Funded startup |
60 |
| Community-led (strong community) |
40 |
| Individual maintainers |
20 |
Security Metrics
Security Scoring Components
| Metric |
Description |
| CVE Count (12 months) |
Known vulnerabilities in last year |
| CVE Count (3 years) |
Longer-term vulnerability history |
| Severity Distribution |
Critical/High/Medium/Low counts |
| Patch Frequency |
Average days to patch vulnerabilities |
Compliance Readiness Levels
| Level |
Score Range |
Description |
| Ready |
90-100% |
Meets compliance requirements |
| Mostly Ready |
70-89% |
Minor gaps to address |
| Partial |
50-69% |
Significant work needed |
| Not Ready |
< 50% |
Major gaps exist |
Compliance Framework Coverage
GDPR
- Data privacy features
- Consent management
- Data portability
- Right to deletion
SOC2
- Access controls
- Encryption at rest/transit
- Audit logging
- Change management
HIPAA
- PHI handling
- Encryption standards
- Access controls
- Audit trails
Migration Metrics
Complexity Scoring (1-10 Scale)
| Factor |
Weight |
Description |
| Code Changes |
30% |
Lines of code affected |
| Architecture Impact |
25% |
Breaking changes, API compatibility |
| Data Migration |
25% |
Schema changes, data transformation |
| Downtime Requirements |
20% |
Zero-downtime possible vs planned outage |
Effort Estimation
| Phase |
Components |
| Development |
Hours per component * complexity factor |
| Testing |
Unit + integration + E2E hours |
| Training |
Team size * learning curve hours |
| Buffer |
20-30% for unknowns |
Risk Assessment Matrix
| Risk Category |
Factors Evaluated |
| Technical |
API incompatibilities, performance regressions |
| Business |
Downtime impact, feature parity gaps |
| Team |
Learning curve, skill gaps |
Performance Benchmarks
Throughput/Latency Metrics
| Metric |
Description |
| RPS |
Requests per second |
| Avg Response Time |
Mean response latency (ms) |
| P95 Latency |
95th percentile response time |
| P99 Latency |
99th percentile response time |
| Concurrent Users |
Maximum simultaneous connections |
Resource Usage Metrics
| Metric |
Unit |
| Memory |
MB/GB per instance |
| CPU |
Utilization percentage |
| Storage |
GB required |
| Network |
Bandwidth MB/s |
Scalability Characteristics
| Type |
Description |
| Horizontal |
Add more instances, efficiency factor |
| Vertical |
CPU/memory limits per instance |
| Cost per Performance |
Dollar per 1000 RPS |
| Scaling Inflection |
Point where cost efficiency changes |
1---2name: technology-evaluation-metrics3description: Detailed metrics and calculations used in technology stack evaluation.4---5# Technology Evaluation Metrics67Detailed metrics and calculations used in technology stack evaluation.89---1011## Table of Contents1213- [Scoring and Comparison](#scoring-and-comparison)14- [Financial Calculations](#financial-calculations)15- [Ecosystem Health Metrics](#ecosystem-health-metrics)16- [Security Metrics](#security-metrics)17- [Migration Metrics](#migration-metrics)18- [Performance Benchmarks](#performance-benchmarks)1920---2122## Scoring and Comparison2324### Technology Comparison Matrix2526| Metric | Scale | Description |27|--------|-------|-------------|28| Feature Completeness | 0-100 | Coverage of required features |29| Learning Curve | Easy/Medium/Hard | Time to developer proficiency |30| Developer Experience | 0-100 | Tooling, debugging, workflow quality |31| Documentation Quality | 0-10 | Completeness, clarity, examples |3233### Weighted Scoring Algorithm3435The comparator uses normalized weighted scoring:3637```python38# Default category weights (sum to 100%)39weights = {40 "performance": 15,41 "scalability": 15,42 "developer_experience": 20,43 "ecosystem": 15,44 "learning_curve": 10,45 "documentation": 10,46 "community_support": 10,47 "enterprise_readiness": 548}4950# Final score calculation51weighted_score = sum(category_score * weight / 100 for each category)52```5354### Confidence Scoring5556Confidence is calculated based on score gap between top options:5758| Score Gap | Confidence Level |59|-----------|------------------|60| < 5 points | Low (40-50%) |61| 5-15 points | Medium (50-70%) |62| > 15 points | High (70-100%) |6364---6566## Financial Calculations6768### TCO Components6970**Initial Costs (One-Time)**71- Licensing fees72- Training: `team_size * hours_per_dev * hourly_rate + materials`73- Migration costs74- Setup and tooling7576**Operational Costs (Annual)**77- Licensing renewals78- Hosting: `base_cost * (1 + growth_rate)^(year - 1)`79- Support contracts80- Maintenance: `team_size * hours_per_dev_monthly * hourly_rate * 12`8182**Scaling Costs**83- Infrastructure: `servers * cost_per_server * 12`84- Cost per user: `total_yearly_cost / user_count`8586### ROI Calculations8788```89productivity_value = additional_features_per_year * avg_feature_value90net_tco = total_cost - (productivity_value * years)91roi_percentage = (benefits - costs) / costs * 10092```9394### Cost Per Metric Reference9596| Metric | Description |97|--------|-------------|98| Cost per user | Monthly or yearly per active user |99| Cost per API request | Average cost per 1000 requests |100| Cost per GB | Storage and transfer costs |101| Cost per compute hour | Processing time costs |102103---104105## Ecosystem Health Metrics106107### GitHub Health Score (0-100)108109| Metric | Max Points | Thresholds |110|--------|------------|------------|111| Stars | 30 | 50K+: 30, 20K+: 25, 10K+: 20, 5K+: 15, 1K+: 10 |112| Forks | 20 | 10K+: 20, 5K+: 15, 2K+: 12, 1K+: 10 |113| Contributors | 20 | 500+: 20, 200+: 15, 100+: 12, 50+: 10 |114| Commits/month | 30 | 100+: 30, 50+: 25, 25+: 20, 10+: 15 |115116### npm Health Score (0-100)117118| Metric | Max Points | Thresholds |119|--------|------------|------------|120| Weekly downloads | 40 | 1M+: 40, 500K+: 35, 100K+: 30, 50K+: 25, 10K+: 20 |121| Major version | 20 | v5+: 20, v3+: 15, v1+: 10 |122| Dependencies | 20 | ≤10: 20, ≤25: 15, ≤50: 10 (fewer is better) |123| Days since publish | 20 | ≤30: 20, ≤90: 15, ≤180: 10, ≤365: 5 |124125### Community Health Score (0-100)126127| Metric | Max Points | Thresholds |128|--------|------------|------------|129| Stack Overflow questions | 25 | 50K+: 25, 20K+: 20, 10K+: 15, 5K+: 10 |130| Job postings | 25 | 5K+: 25, 2K+: 20, 1K+: 15, 500+: 10 |131| Tutorials | 25 | 1K+: 25, 500+: 20, 200+: 15, 100+: 10 |132| Forum/Discord members | 25 | 50K+: 25, 20K+: 20, 10K+: 15, 5K+: 10 |133134### Corporate Backing Score135136| Backing Type | Score |137|--------------|-------|138| Major tech company (Google, Microsoft, Meta) | 100 |139| Established company (Vercel, HashiCorp) | 80 |140| Funded startup | 60 |141| Community-led (strong community) | 40 |142| Individual maintainers | 20 |143144---145146## Security Metrics147148### Security Scoring Components149150| Metric | Description |151|--------|-------------|152| CVE Count (12 months) | Known vulnerabilities in last year |153| CVE Count (3 years) | Longer-term vulnerability history |154| Severity Distribution | Critical/High/Medium/Low counts |155| Patch Frequency | Average days to patch vulnerabilities |156157### Compliance Readiness Levels158159| Level | Score Range | Description |160|-------|-------------|-------------|161| Ready | 90-100% | Meets compliance requirements |162| Mostly Ready | 70-89% | Minor gaps to address |163| Partial | 50-69% | Significant work needed |164| Not Ready | < 50% | Major gaps exist |165166### Compliance Framework Coverage167168**GDPR**169- Data privacy features170- Consent management171- Data portability172- Right to deletion173174**SOC2**175- Access controls176- Encryption at rest/transit177- Audit logging178- Change management179180**HIPAA**181- PHI handling182- Encryption standards183- Access controls184- Audit trails185186---187188## Migration Metrics189190### Complexity Scoring (1-10 Scale)191192| Factor | Weight | Description |193|--------|--------|-------------|194| Code Changes | 30% | Lines of code affected |195| Architecture Impact | 25% | Breaking changes, API compatibility |196| Data Migration | 25% | Schema changes, data transformation |197| Downtime Requirements | 20% | Zero-downtime possible vs planned outage |198199### Effort Estimation200201| Phase | Components |202|-------|------------|203| Development | Hours per component * complexity factor |204| Testing | Unit + integration + E2E hours |205| Training | Team size * learning curve hours |206| Buffer | 20-30% for unknowns |207208### Risk Assessment Matrix209210| Risk Category | Factors Evaluated |211|---------------|-------------------|212| Technical | API incompatibilities, performance regressions |213| Business | Downtime impact, feature parity gaps |214| Team | Learning curve, skill gaps |215216---217218## Performance Benchmarks219220### Throughput/Latency Metrics221222| Metric | Description |223|--------|-------------|224| RPS | Requests per second |225| Avg Response Time | Mean response latency (ms) |226| P95 Latency | 95th percentile response time |227| P99 Latency | 99th percentile response time |228| Concurrent Users | Maximum simultaneous connections |229230### Resource Usage Metrics231232| Metric | Unit |233|--------|------|234| Memory | MB/GB per instance |235| CPU | Utilization percentage |236| Storage | GB required |237| Network | Bandwidth MB/s |238239### Scalability Characteristics240241| Type | Description |242|------|-------------|243| Horizontal | Add more instances, efficiency factor |244| Vertical | CPU/memory limits per instance |245| Cost per Performance | Dollar per 1000 RPS |246| Scaling Inflection | Point where cost efficiency changes |