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codeburn-rs

See where your AI coding tokens go — 600× faster

codeburn dashboard screenshot

A Rust rewrite of codeburn. Supports Claude, Codex, Opencode, Pi, and Copilot.

Benchmarks

Measured with hyperfine on a MacBook Pro (M1 Pro, 16GB, 1TB) against npx codeburn.

Scenario cburn npx codeburn Speedup
Cached output 6.0 ms N/A ~610×
Cached sources 10.9 ms 3.66 s ~335×
Cold (no cache) 76 ms 7.71 s ~101×

Install

Homebrew

brew install rossnoah/tap/cburn

Shell installer

curl --proto '=https' --tlsv1.2 -LsSf https://github.com/rossnoah/codeburn-rs/releases/latest/download/cburn-installer.sh | sh

Install from source

cargo install --git https://github.com/rossnoah/codeburn-rs

Usage

Launch the interactive dashboard:

cburn

Other commands:

cburn today                     # jump to today's usage
cburn month                     # jump to this month's usage
cburn report --period 30days    # report over a custom period
cburn report --provider claude  # filter to a single provider
cburn status                    # compact snapshot (today + week + month)
cburn export --format csv       # export usage data (csv or json)
cburn currency GBP              # change display currency

Run cburn --help or cburn <subcommand> --help for full options.

The binary is named cburn to avoid colliding with the npm codeburn package. If you don't have the npm version installed and prefer the full name, add an alias to your shell config:

echo 'alias codeburn=cburn' >> ~/.zshrc # update profile
alias codeburn=cburn # update current shell

or

echo 'alias codeburn=cburn' >> ~/.bashrc # update profile
alias codeburn=cburn # update current shell

Notes

Cursor support is currently disabled. Cursor stopped writing per-call token counts to its local state.vscdb in early 2026, so parsing that DB now reports $0 regardless of actual usage. The parser code is retained in case the data layout is restored upstream.

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See where your AI coding tokens go but 600x faster

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