Production-ready, works for both server and cloud JIRA. Extract data from JIRA and convert it into Excel or CSV format, including flow status duration and stage start dates with no further setting required. Consequently, it enables easy calculation and visualization of lead time.

Helps you find your team-level engineering metrics.

Answer "who works on what?" across your entire engineering org. Self-hosted git analytics with beautiful Grafana dashboards. Track contributions, identify experts, measure team velocity, and visualize activity patterns across all repositories.

Developer productivity analytics. Python CLI that visualizes organization-wide contribution patterns and churn metrics via GitHub API.

A .NET 9 REST API that calculates developer productivity metrics from on-premise GitLab instances via live API calls. Built with .NET Aspire for cloud-native development and comprehensive engineering KPI analysis.

MCP for SonarQube that analyzes code quality, technical debt, vulnerabilities, and coverage, enabling AI-driven engineering insights.

🔍 Git Repository Analytics Tool 📈 Analyze commit frequency and development activity 🚫 Flag poor commit messages and hygiene issues 🕳️ Detect dead (inactive) days in the commit timeline 🧠 Reveal the real development patterns of a Git repository Built with ⚙️ Git internals, 🐍 Python, and 📊 data analysis

SHAM (System Health & Architecture Monitor) is a framework for observing how software systems change over time by tracking risk introduced, system stability, recovery behavior, and surrounding context. It helps make structural health and invisible work visible as systems evolve under real-world constraints.

Audit your team's code review health against industry benchmarks (DORA, SPACE, Project Aristotle). Includes a novel metric — Effort Inversion Ratio (EIR) — that no published research has formalized. Claude Code skill.

Delivery intelligence reference implementation showcasing mathematically correct DORA metrics, modular telemetry architecture, and executive engineering reporting

Turn your git history into a feature risk map. Detects technical debt hotspots without Jira — powered by AI or heuristics.

A production-grade iOS Engineering Playbook covering architecture decisions, governance models, release strategy, technical debt management, and staff-level engineering practices.

GitHub analytics CLI that evaluates repository engineering health using activity, PR flow, CI stability, and collaboration metrics.

A desktop app that plugs into JIRA and turns messy ticket data into clear metrics, beautiful charts, and actionable insights. No servers. No Docker. No "let me set up the backend real quick." Just install, connect, and see what your team's been up to. 🚀

Engineering excellence platform for tracking DORA metrics (Deployment Frequency, Lead Time, MTTR, Change Failure Rate) with AI-powered insights. Built with Phoenix 1.8+ and LiveView.

Visualize GitHub activity with real-time dashboards that track streaks, analyze languages, and measure impact using a Velocity Score.

📊 Analyze Git commit history to uncover developer activity patterns, improve commit practices, and enhance team productivity.