tokentap and tokentop

These are direct competitors offering nearly identical functionality—real-time terminal dashboards for monitoring LLM token usage and costs—with tokentap being the more mature and adopted option.

tokentap
60
Established
tokentop
36
Emerging
Maintenance 17/25
Adoption 10/25
Maturity 20/25
Community 13/25
Maintenance 10/25
Adoption 7/25
Maturity 11/25
Community 8/25
Stars: 761
Forks: 36
Downloads:
Commits (30d): 7
Language: Python
License: MIT
Stars: 36
Forks: 3
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
No Package No Dependents

About tokentap

jmuncor/tokentap

Intercept LLM API traffic and visualize token usage in a real-time terminal dashboard. Track costs, debug prompts, and monitor context window usage across your AI development sessions.

This tool helps AI application developers monitor and debug their interactions with large language models (LLMs) in real time. It intercepts your LLM API calls, displaying token usage, cost, and context window consumption in a live terminal dashboard. Developers building with LLM CLI tools for providers like Claude, OpenAI Codex, or MiniMax will find this essential for managing their AI-powered applications.

LLM development prompt engineering API monitoring cost management debugging

About tokentop

tokentopapp/tokentop

htop for your AI costs — real-time terminal monitoring of LLM token usage and spending across providers and coding agents

This tool helps software developers and AI engineers keep track of their spending when using large language models (LLMs) and AI coding agents. It provides a real-time terminal display showing how many tokens are being used and how much it's costing across various AI providers like OpenAI, Anthropic, and GitHub Copilot. The input is your ongoing AI development work, and the output is an immediate, consolidated view of your token usage and expenditures.

AI-development LLM-ops software-development cost-management developer-productivity

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