Can I define my own decision criteria priorities?

Absolutely. You can provide weighted priorities (e.g., performance 40%, cost 30%) to generate a custom decision matrix tailored to your specific project needs.

Can it compare specific cloud provider services?

Yes, it provides head-to-head comparisons between AWS, Azure, and GCP for specific workloads, analyzing both feature sets and cost-per-metric data.

Does it support migration risk assessment?

Yes, it provides complexity scoring, estimated lines of code affected, and risk mitigation strategies to guide transitions from legacy systems to modern stacks.

How does the skill calculate Total Cost of Ownership (TCO)?

The skill analyzes a 5-year projection including initial licensing, operational hosting costs, developer productivity multipliers, and infrastructure scaling requirements.

What metrics are used for ecosystem health scoring?

It aggregates data from GitHub (stars, contributors, commit frequency) and package managers (downloads, version stability) to determine long-term viability.

Tech Stack Evaluator

Name: Tech Stack Evaluator
Author: alirezarezvani

byalirezarezvani

•

1,040

开发者工具

Evaluates and compares technology stacks using data-driven metrics for TCO, security, and ecosystem health.

关于

The Tech Stack Evaluator is a specialized tool designed for engineering teams to make high-stakes architectural decisions with confidence. It automates the complex process of comparing frameworks, languages, and cloud providers by generating comprehensive reports that include Total Cost of Ownership (TCO) projections, security posture audits, and ecosystem vitality scores. Whether you are choosing a frontend framework or planning a large-scale cloud migration, this skill provides the structured data and decision matrices needed to align technical choices with business goals.

主要功能

Comprehensive TCO analysis including hosting, licensing, and developer productivity
Real-time ecosystem health tracking via GitHub and package manager metrics
Migration path analysis with complexity scoring and effort estimation
1,040 GitHub stars
Multi-dimensional technology comparisons with weighted scoring algorithms
Automated security and compliance assessments (GDPR, SOC2, HIPAA)

使用场景

Selecting the optimal frontend or backend framework for a new enterprise SaaS application
Comparing AWS, Azure, and GCP for specific workloads to optimize infrastructure costs
Evaluating the risks and timelines for migrating legacy codebases to modern architectures

关于

主要功能

Comprehensive TCO analysis including hosting, licensing, and developer productivity
Real-time ecosystem health tracking via GitHub and package manager metrics
Migration path analysis with complexity scoring and effort estimation
1,040 GitHub stars
Multi-dimensional technology comparisons with weighted scoring algorithms
Automated security and compliance assessments (GDPR, SOC2, HIPAA)

使用场景

Selecting the optimal frontend or backend framework for a new enterprise SaaS application
Comparing AWS, Azure, and GCP for specific workloads to optimize infrastructure costs
Evaluating the risks and timelines for migrating legacy codebases to modern architectures