hmenzagh

hmenzagh / CCMeter

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Deep analytics and session insights for your Claude Code usage

analytics claude claude-code cost-tracking dashboard
38
2
100% credibility
Found Apr 05, 2026 at 38 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

CCMeter is a terminal dashboard that parses local Claude Code session logs to visualize token usage, costs, code metrics, and efficiency across projects.

How It Works

1
📖 Discover CCMeter

You come across CCMeter, a simple tool that shows how much you're using your AI coding assistant and helps track costs and efficiency.

2
📥 Install easily

Run a quick one-click command to download and set it up on your Mac or Linux computer.

3
▶️ Launch the dashboard

Type 'ccmeter' in your command window and watch it automatically find and load your recent coding sessions.

4
🌈 See your stats shine

Beautiful colorful heatmaps, project cards, and gauges pop up showing tokens used, money spent, code lines changed, and your efficiency score.

5
🔍 Explore and filter

Switch time periods like today or last week, select projects, and zoom into details to spot trends.

6
⚙️ Tweak settings

Press a key to open options and rename, group, favorite, or hide projects to fit your workflow.

✅ Track like a pro

Now you effortlessly monitor usage, cut costs, boost efficiency, and make smarter coding choices every day.

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Star Growth

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AI-Generated Review

What is CCMeter?

CCMeter delivers deep analytics for Claude Code usage straight in your terminal. This Rust TUI scans local session logs from Claude projects, grouping them by git repo, and visualizes token counts, per-model costs (Opus, Sonnet, Haiku), lines suggested/accepted, and efficiency scores like tokens per line changed. Users get heatmaps, project cards, time filters from 1h to all-time, and active time estimates—all auto-cached for instant loads.

Why is it gaining traction?

Tailored deep analytics for AI coding sessions beat generic token trackers with GitHub-style grids for input/output/lines/acceptance, plus sparklines and model breakdowns. Parallel parsing handles thousands of JSONL files fast, with overrides for merging/splitting projects and persistent history. The hook: real-time-ish refreshes, custom renames/stars, and KPI banners spotting streaks or avg daily tokens.

Who should use this?

Claude Code users tracking $ spend across repos, solo devs optimizing prompt efficiency, or teams reviewing acceptance rates per project. Suits terminal diehards on macOS/Linux who want offline, responsive insights without web dashboards.

Verdict

Worth installing via curl or Homebrew for Claude heavyweights—polished UI, clear keybindings, MIT license. At 38 stars and 1.0% credibility, it's nascent but docs shine; test on your sessions before relying long-term.

(198 words)

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