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TokenTracker
TokenTracker is an open-source, local-first monitoring dashboard that tracks AI token usage and costs across 43 coding tools and command-line interfaces.
Token Tracker is a local-first dashboard that monitors token usage and costs across 43 different AI coding tools, including Claude Code, Cursor, GitHub Copilot, and Gemini CLI. It works by installing hooks or reading local log files to normalize provider-specific data into a unified, privacy-focused dashboard. Because it operates locally, user prompts and conversation content are never read or uploaded. The tool provides cost analysis for over 2,200 models, tracks project attribution, and surfaces usage limits for 17 providers. It is designed for developers and engineering teams who need a consolidated view of their AI consumption without manual tracking or heavy overhead.
TokenTracker at a glance
- Best for: Software engineer
- Runs on: Web, macOS, Windows, CLI
- Pricing: Free and open-source
- Released: April 2026
- Category: AI coding tool
- Website: tokentracker.cc
Key features
- Unified usage dashboard for 43 AI coding tools
- Cost analysis for 2,200+ models
- Project-based token attribution
- Local-first architecture with optional cloud sync
- Desktop widgets for usage, heatmaps, and limits
- Provider operational status page
- Native macOS and Windows apps
Use it for
- Comparing token consumption trends by project
- Analyzing spending per AI model
- Tracking rate limits across multiple providers
- Reporting budget usage for engineering teams
Alternatives to TokenTracker
- Token Monitor — Tracks token usage and costs locally across multiple AI coding tools.
- Claude Code Session Tracker — Monitor Claude Code usage limits and token history in a single local interface.
- ccusage — Tracks token usage and costs locally across multiple coding agent CLIs.
- Cost X-Ray — It prices usage below the tool level by analyzing raw API request bytes.
- Tokscale — Track and compare token usage across multiple AI coding agents.
- CodeBurn — Tracks AI coding token usage and costs locally across 41 tools and agents.
- Xtrace Desktop — See agent activity, estimated human time, and API spend from your local history.
- Opaline — Track team-wide token costs and coding session analytics.
- OpenTokenMini — Measures every agent call cost and links it to code commits.
- Source Trace — Tracks code generated, kept, and rewritten to measure AI return on investment.
- daidocs — It keeps code graphs as plain text for lower token costs and better accuracy.
- Claude Code Usage Monitor — Tracks token usage, message counts, and session costs with local history and alerts.
All TokenTracker alternatives