DHIS 2 app for pivot table data visualization
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Updated
Sep 20, 2026 - JavaScript
DHIS 2 app for pivot table data visualization
Open-source people development platform: skills matrix, development plans, gap analysis, and team growth tracking. Self-hosted, local-first.
Monitor code quality and team productivity automatically through Git commit analysis, with DingTalk/Feishu integration
Kinlyze scans your codebase to find out who really holds the knowledge - and what breaks if they leave. Free CLI, offline by default, with a Dashboard for risk heat maps, ownership profiles, and departure simulations.
Model Context Protocol server for Cursor Admin API - instant team analytics power-up for AI assistants
TeamPulse Analytics Bot is an AI-powered Telegram bot for communication analytics. It collects messages from chats, analyzes team interactions, and generates insights about collaboration health. It helps detect unresolved discussions, ownership gaps, missed deadlines, and communication bottlenecks using rule-based analysis and LLM-powered insights.
Tool to do incremental backups of Azure storage account containers
Private engineering-team health & burnout early-warning trend detector, built from git commit metadata and PR review activity — trend-based, ethics-first, manager-only.
📊 Wakapi self-hosted stack + custom Flask admin paneli. PostgreSQL · Wakapi · pgAdmin · Prometheus · Grafana tek docker compose'da. Realtime active users, domain tag system, AI editor detection (Cursor/Copilot/Claude Code/Codeium), izin/düzeltme yönetimi, PDF rapor, leaderboard auto-refresh.
Zero-token, server-less usage & rating tracker for Claude Code skills and subagents — counts live in plain markdown in your repo.
Track AI coding agent usage across teams and organizations with a self-hosted client, server, and dashboard for token usage, costs, model breakdowns, and session trends.
팀 단위 Claude Code 사용량 추적 대시보드 — 각자 PC에서 npx 한 줄로 설치한 클라이언트가 ccusage로 집계한 일별 토큰 사용량(비용·프로젝트·세션 상세 제외)만 매일 업로드하고, Node.js·Express·MongoDB 서버가 사용자별 토큰량·추세·기기별 현황을 차트와 엑셀로 보여줍니다.
Engineering team health in one terminal command.
Analyze Pakistan Cricket Team performance with pure Python! 30 players, 20 analyses covering batting averages, strike rates, fitness scores & team composition. Perfect for beginners learning data science. No libraries needed!
Team server for kasl: collects work-time data from employees' kasl agents and turns it into dashboards, reports, and personal pages
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