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toon

toon-format/toon

Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts

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GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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25k stars1.1k forksLast push Aug 7, 2026 TypeScript MIT

Decision brief

TOON is a specialized tool that offers a compact and human-readable format tailored specifically for Large Language Model (LLM) prompts. It comes with a TypeScript SDK and is schema-aware, making it versatile in handling

Good fit when

- When your project needs a compact yet readable data format specifically designed for LLM prompt generation.
- If you are working with TypeScript and want to leverage the provided SDK to streamline the development process.

Avoid when

- Avoid TOON if your project's primary language is not TypeScript, as leveraging its full potential requires a compatible environment and ecosystem integration might be more challenging.
- Do not use TOON for general-purpose data serialization tasks where there are more established formats with broader compatibility like JSON or YAML.

Pricing:: freemium - Available under the MIT License, it's free to use and modify within license terms
Requirements:: Requires a TypeScript environment for full functionality of its SDK

Observed Jul 11, 2026 · Source: enrich:decision_facts

toon alternatives Trust report

toon vs caveman

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Maintenance and security

Full trust report

Maintenance: Active (8d since push); As of Aug 16, 2026
Provenance: Not a fork · Organization account; As of Aug 16, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install toon

npm

How it fits your stack(4)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

caveman

Both TOON and Caveman aim to optimize text representation for LLM input, but use different strategies. TOON is focused on minimizing tokens while maintaining structure akin to JSON, whereas Caveman focuses more broadly on reducing token usage.

alternative

Integrates

langchain

TOON can be seen as an extension or additional component for LangChain, providing a more efficient data representation for LLM inputs within the LangChain framework.

integrates

transformers

🤗 Transformers: state-of-the-art machine learning models for text, vision, audio, and multimodal models

ai-engineering-hub

AI Engineering Hub provides resources for building with AI, which may include the use of efficient data formats like TOON, but they are not directly connected as TOON is a specific tool while AI Engineering Hub is more general educational and resource oriented.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides a compact and human-readable format for LLM prompts with TypeScript SDK.

Capability facts

MCP server: No MCP server detected
Source: repo_scan · Aug 16, 2026
Languages: typescript, javascript
Source: github.language+package.json · Aug 16, 2026

README

Getting Started Introduction & Installation – What TOON is, when to use it, first steps Format Overview – Complete syntax with examples Benchmarks – Accuracy & token efficiency results License MIT License © 2025 PRESENT Johann Schopplich

For agents

This page has a .md twin and JSON over the API.

/tools/toon-format-toon.md GET /api/graphcanon/tools/toon-format-toon GET /api/graphcanon/graph?tool=toon-format-toon