--- title: "caveman vs toon" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/juliusbrussee-caveman-vs-toon-format-toon" tools: ["juliusbrussee-caveman", "toon-format-toon"] --- # caveman vs toon Neutral, constraint-first comparison with live GitHub stats. | | [caveman](/tools/juliusbrussee-caveman.md) | [toon](/tools/toon-format-toon.md) | | --- | --- | --- | | Tagline | why use many token when few do trick | Token-Oriented Object Notion (TOON) – Compact, Human-Readable JSON for LLM Prompts. | | Stars | 86,461 | 24,803 | | Forks | 4,823 | 1,101 | | Open issues | 370 | 20 | | Language | JavaScript | TypeScript | | Adopt for | Caveman is a plugin designed to reduce output tokens by 65% without sacrificing technical accuracy. | Tool designed to offer a more token-efficient format for Large Language Model inputs than traditional JSON. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caveman](/tools/juliusbrussee-caveman.md) | [toon](/tools/toon-format-toon.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 4d | 26d | | Open issues (now) | 370 | 20 | | Owner type | User | Organization | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/juliusbrussee-caveman/trust.md) | [trust report](/tools/toon-format-toon/trust.md) | **Typed relationship:** caveman _(alternative)_ toon Both TOON and Caveman aim to reduce token usage for LLM input, but through different methods. Caveman focuses on reducing tokens by simplifying language, while TOON aims to structure data efficiently within token constraints. ## Decision facts: caveman - **Pricing:** freemium - Caveman is open-source under the MIT license, allowing it to be used freely. However, the reduction in output tokens can lead to cost savings when using pay-per-token AI services. - **Requirements:** Min 2 GB RAM - **Adopt for:** Caveman is a plugin designed to reduce output tokens by 65% without sacrificing technical accuracy. ## Decision facts: toon - **Pricing:** freemium - The tool is available under MIT License, which allows for free use and modification. - **Requirements:** Built in TypeScript; it may require an appropriate environment or framework that supports TypeScript. - **Adopt for:** Tool designed to offer a more token-efficient format for Large Language Model inputs than traditional JSON. ## Choose when ### Choose caveman if… - caveman is primarily JavaScript; toon is TypeScript. - Pricing: Caveman is open-source under the MIT license, allowing it to be used freely. However, the reduction in output tokens can lead to cost savings when using pay-per-token AI services.. - Requirements: Min 2 GB RAM. - Both TOON and Caveman aim to reduce token usage for LLM input, but through different methods. Caveman focuses on reducing tokens by simplifying language, while TOON aims to structure data efficiently within token constraints. - Tags unique to caveman: caveman, ai, tokens, claude-code. - Also covers AI Agents. - You need to significantly reduce the number of tokens in your AI coding agent's responses, leading to cost savings or fitting within token constraints. ### Choose toon if… - toon is primarily TypeScript; caveman is JavaScript. - Pricing: The tool is available under MIT License, which allows for free use and modification.. - Requirements: Built in TypeScript; it may require an appropriate environment or framework that supports TypeScript.. - Both TOON and Caveman aim to reduce token usage for LLM input, but through different methods. Caveman focuses on reducing tokens by simplifying language, while TOON aims to structure data efficiently within token constraints. - Tags unique to toon: tokenization, serialization, data-format. - - When you need a more compact representation of data input for LLMs without losing human-readability or data integrity. ## When NOT to use caveman - When preserving a more natural and verbose style is important for readability or user comprehension, as Caveman uses very concise language that may seem overly terse to some users. - If there are specific requirements for maintaining a certain writing style (e.g., formal documentation) which relies on detailed explanations and elaboration. ## When NOT to use toon - - When dealing with deeply nested or non-uniform JSON-like structures that would not benefit from the CSV-style format and may actually increase token usage. - - In scenarios where existing solutions like YAML sufficiently meet data representation needs without incurring additional overheads specific to TOON ## Common questions ### What is the difference between caveman and toon? caveman: why use many token when few do trick. toon: Token-Oriented Object Notion (TOON) – Compact, Human-Readable JSON for LLM Prompts.. See the comparison table for live GitHub stats and shared categories. ### When should I choose caveman over toon? Choose caveman over toon when caveman is primarily JavaScript; toon is TypeScript; Pricing: Caveman is open-source under the MIT license, allowing it to be used freely. However, the reduction in output tokens can lead to cost savings when using pay-per-token AI services.; Requirements: Min 2 GB RAM; Both TOON and Caveman aim to reduce token usage for LLM input, but through different methods. Caveman focuses on reducing tokens by simplifying language, while TOON aims to structure data efficiently within token constraints; Tags unique to caveman: caveman, ai, tokens, claude-code; Also covers AI Agents; You need to significantly reduce the number of tokens in your AI coding agent's responses, leading to cost savings or fitting within token constraints. ### When should I choose toon over caveman? Choose toon over caveman when toon is primarily TypeScript; caveman is JavaScript; Pricing: The tool is available under MIT License, which allows for free use and modification.; Requirements: Built in TypeScript; it may require an appropriate environment or framework that supports TypeScript.; Both TOON and Caveman aim to reduce token usage for LLM input, but through different methods. Caveman focuses on reducing tokens by simplifying language, while TOON aims to structure data efficiently within token constraints; Tags unique to toon: tokenization, serialization, data-format; - When you need a more compact representation of data input for LLMs without losing human-readability or data integrity. ### When should I avoid caveman? When preserving a more natural and verbose style is important for readability or user comprehension, as Caveman uses very concise language that may seem overly terse to some users. If there are specific requirements for maintaining a certain writing style (e.g., formal documentation) which relies on detailed explanations and elaboration. ### When should I avoid toon? - When dealing with deeply nested or non-uniform JSON-like structures that would not benefit from the CSV-style format and may actually increase token usage. - In scenarios where existing solutions like YAML sufficiently meet data representation needs without incurring additional overheads specific to TOON ### Is caveman or toon more popular on GitHub? caveman has more GitHub stars (86,461 vs 24,803). Stars measure visibility, not whether either tool fits your constraints. ### Are caveman and toon open source? Yes - both are open-source projects on GitHub (caveman: MIT, toon: MIT). ### Where can I find alternatives to caveman or toon? GraphCanon lists graph-backed alternatives at /tools/juliusbrussee-caveman/alternatives and /tools/toon-format-toon/alternatives (/tools/juliusbrussee-caveman/alternatives.md, /tools/toon-format-toon/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/juliusbrussee-caveman-vs-toon-format-toon.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caveman or toon? caveman: Very active. toon: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for caveman and toon? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caveman: /tools/juliusbrussee-caveman/trust; toon: /tools/toon-format-toon/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=juliusbrussee-caveman`](/api/graphcanon/graph?tool=juliusbrussee-caveman) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_