junhoyeo/tokscale

🛰️ Track token usage across AI coding agents from your terminal. 🏅 Global leaderboard with trillions of tokens tracked.

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 5 minutes ago
Added to GitGenius on September 12th, 2026
Created on December 1st, 2025
Open Issues & Pull Requests: 67 (+0)
GitHub issues: Enabled
Number of forks: 439
Total Stargazers: 5,413 (+0)
Total Subscribers: 45 (+0)

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Issue API getrepoissuespagesummary failed: 429 Rate limit exceeded. Please try again later.

Detailed Description

Tokscale is a CLI tool and visualization dashboard for tracking token usage and costs across multiple AI coding agents.

The tool addresses the challenge of monitoring token consumption when working with various AI coding assistants by providing real-time tracking and analysis capabilities. It collects usage data from multiple AI agents and presents this information through both a terminal user interface and a web-based dashboard. The approach enables developers to see detailed breakdowns of token usage patterns, including daily summaries, per-model statistics, and cost analysis across different AI services.

Tokscale suits developers who regularly use multiple AI coding agents and want visibility into their token consumption and associated costs. It works particularly well for teams or individuals experimenting with different AI models or agents, as it provides comparative metrics across tools. The project includes a global leaderboard feature where users can optionally submit their usage data to see how their token consumption compares with others.

The project shows active development with regular feature additions and refinements to both the CLI interface and web dashboard. The maintainer actively releases new open-source work and maintains community engagement through Discord. The tool has expanded its scope to include visualization features like a three-dimensional contributions graph and annual wrapped summaries of agent usage patterns.