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.

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

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.

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.

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.

🔍 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

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.

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