Dashboard For Claude Code banner
heyuehuan heyuehuan

Dashboard For Claude Code

Data community

Description

A local Claude Code dashboard for personal analytics: track token usage, API-equivalent cost, sessions, tools, skills, projects, and activity patterns.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Claude Code Dashboard for Personal Analytics

![Banner](docs/banner.jpeg)

**See how you actually use [Claude Code](https://docs.claude.com/en/docs/claude-code).** A private, local analytics dashboard for your sessions, costs, tokens, tools, skills, coding patterns — and wasted effort.

Your Claude Code usage tells a story. This dashboard makes it visible.

Everything runs on your machine. Your session logs are **read-only** — **never modified** and **never leaving your computer** unless you explicitly choose to deploy a static export.

[![CI](https://github.com/heyuehuan/dashboard-for-claude-code/actions/workflows/ci.yml/badge.svg)](https://github.com/heyuehuan/dashboard-for-claude-code/actions/workflows/ci.yml) [![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE) ![Python](https://img.shields.io/badge/python-3.11%2B-blue.svg) ![Status](https://img.shields.io/badge/status-beta-orange.svg)

**Unofficial project.** This is a community tool. It is **not affiliated with, endorsed by, or sponsored by Anthropic**. "Claude" and "Claude Code" are trademarks of Anthropic, PBC; they are used here only to describe what this tool is compatible with. See [Trademarks](#trademarks).

What it answers

This isn't usage monitoring — it's personal analytics. Point it at your own history and it answers questions you can't get anywhere else:

  • Which projects am I actually spending Claude Code on?
  • Which sessions are the most expensive?
  • When do I use it most (time of day, day of week)?
  • Which tools and skills are really getting invoked — and which never do?
  • Which sessions show high churn, errors, or repeated retries?
  • Is my style more supervised or autonomous?
  • How large is the compute I'm actually spending on Claude Code?

Quick start (no install)

Run the latest release straight from PyPI — no clone, no virtualenv, nothing left behind:

uvx dashboard-for-claude-code       # with uv  (https://docs.astral.