androidZzT

androidZzT / cc-statistics

Public

AI Coding stats dashboard — track costs, tokens, and efficiency across Claude Code / Gemini CLI / Codex / Cursor

ai-coding claude-code cli cost-estimation developer-tools
25
3
100% credibility
Found Mar 21, 2026 at 25 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Swift
AI Summary

Local tool that analyzes AI coding session logs to show usage metrics like costs, time, code changes, and trends across terminal, web, and Mac menu bar interfaces.

How It Works

1
🔍 Discover the tool

You stumble upon this helpful companion while looking for ways to track your AI coding habits and costs.

2
📦 Add it simply

You install it with one easy step, and it's ready on your computer without any fuss.

3
Pick your favorite way
📱
Quick check

See instant numbers right in your terminal.

🌐
Full dashboard

Open a web page with graphs and details.

🍎
Menu bar glance

Keep stats in your Mac's top bar.

4
📊 Unlock your insights

It reads your past sessions and reveals spending trends, time used, code created, and efficiency scores.

5
🔔 Stay in control

Set spending limits to get friendly alerts when you're going over budget.

🎉 Code smarter

You now see exactly how AI helps your work, cut costs, and boost your daily productivity.

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Star Growth

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AI-Generated Review

What is cc-statistics?

cc-statistics is a Python CLI tool (with a macOS SwiftUI menu bar app and web dashboard) that parses local session files from Claude Code, Gemini CLI, Codex, and Cursor to deliver ai coding stats. It calculates token usage, estimated costs across models like Opus/Sonnet/Haiku/GPT-4o, dev time splits (AI vs user), code changes by language, tool call rankings, and efficiency grades—all 100% offline. Run `cc-stats` for terminal reports, `cc-stats-web` for charts, or `cc-stats-app` for live status bar monitoring with alerts.

Why is it gaining traction?

Unlike generic token trackers, it aggregates coding github ai sessions from multiple tools into daily trends, git commit breakdowns, and webhook alerts to Slack/Feishu—spotting patterns like over-reliance on Write/Edit tools or rising costs fast. The zero-dependency install via pipx, bilingual UI, and one-click session resume commands make it dead simple for daily use. Devs love the local privacy and cost predictions that prevent bill shocks.

Who should use this?

AI coding agents users grinding with Claude Code or Cursor who need to track token efficiency, model costs, and code output without cloud uploads. Solo devs or teams running Gemini CLI/Codex pipelines monitoring weekly spends and tool usage. Perfect for those optimizing prompts or budgeting api calls in github coding projects.

Verdict

Grab it if you're deep in ai coding stats—solid PyPI packaging and docs make it production-ready despite 25 stars and 1.0% credibility score. Still early (watch for edge cases in multi-tool merges), but zero fluff and real utility earn a strong try for Claude/Gemini power users.

(198 words)

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