📊 Visualize Your Git Repositories

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.

Open-source CLI that measures AI coding-assistant impact (Claude Code, Copilot, Cursor, Aider) across Bitbucket+Jira, GitHub, GitLab, Azure DevOps, or Linear — and renders a reveal.js exec deck. Runs locally, no SaaS, no data leaves your environment.

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.

AI-powered engineering self-tracker. Weekly coaching reports from real git, Langfuse, and Claude Code data. Powered by NVIDIA Nemotron Ultra 253B

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.

Plataforma self-hosted de métricas de engenharia (DORA, cycle time, throughput). Coleta GitLab + Jira para PostgreSQL e visualiza em Grafana. Roda 100% via Docker Compose.

Bash scripts for engineering leadership metrics. DORA, PR health, review load, lottery factor, and more. Just gh + jq.

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

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

Self-hosted Engineering Intelligence platform for telemetry-first teams. Build private dashboards for PR flow, DORA, CI/CD, incidents and engineering performance.

Semantic data pipeline and query engine for software engineering metrics

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.

Multi-tenant developer efficiency platform — connects GitHub, GitLab, Jira, ClickUp to generate team performance reports

A platform that makes delivery friction visible, measurable, and actionable — so teams can fix real root causes instead of guessing what went wrong.

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.

Thermodynamic model for measuring engineering organization health from Git and JIRA exhaust — no surveys, no instrumentation, no self-reporting

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.