tokentally — AI Tool by steipete

by steipete · AI Tool · ★ 66

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About tokentally

One tiny lib for LLM token + cost math

costtokentypescript

Quick Facts

Stars66
Forks11
LanguageTypeScript
CategoryAI Tool
LicenseMIT
Quality Score36.25/100
Open Issues2
Last Updated2026-05-04
Created2025-12-19
Platformsnode
Est. Tokens~10k

tokentally alternative? Top 5 similar tools

Looking for a tokentally alternative? If you're comparing tokentally with other ai tool tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • openai-auto-register by Ethan-W20 · ⭐ 212

    OpenAI Codex Auto Register & Token Fetcher | OpenAI Codex 自动注册与 Token 提取

  • LeanKG by FreePeak · ⭐ 181

    LeanKG: Stop Burning Tokens. Start Coding Lean.

  • tokenjuice by vincentkoc · ⭐ 158

    🧃 Token weight loss. Lean output compaction for terminal-heavy agent workflows. Works as a native CLI tool or

  • fieldflow by guillaumegay13 · ⭐ 110
  • trace-mcp by nikolai-vysotskyi · ⭐ 66

    MCP server for Claude Code and Codex. One tool call replaces ~42 minutes of agent exploration

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Frequently Asked Questions

What is tokentally?

tokentally is One tiny lib for LLM token + cost math. It is categorized as a AI Tool with 66 GitHub stars.

What programming language is tokentally written in?

tokentally is primarily written in TypeScript. It covers topics such as cost, token, typescript.

How do I install or use tokentally?

You can find installation instructions and usage details in the tokentally GitHub repository at github.com/steipete/tokentally. The project has 66 stars and 11 forks, indicating an active community.

What license does tokentally use?

tokentally is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to tokentally?

The top alternatives to tokentally on Agent Skills Hub include openai-auto-register, LeanKG, tokenjuice. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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