Comparison
caveman vs toon
Verdict
Pick caveman if caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go; pick toon if 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.
Markdown twin · caveman alternatives · toon alternatives
GraphCanon updated Sep 20, 2026
24views this month
Trust & integrity
| Signal | caveman | toon |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Active (8d since push) As of Aug 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 16, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- caveman
- Reduces token usage by 65% through minimalistic language for coding agents
- toon
- Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts
Stars
- caveman
- 106k
- toon
- 25k
Forks
- caveman
- 6.2k
- toon
- 1.1k
Open issues
- caveman
- 127
- toon
- 3
Language
- caveman
- Go
- toon
- TypeScript
Adopt for
- caveman
- Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go.
- toon
- 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
Persona
- caveman
- -
- toon
- -
Runtime
- caveman
- -
- toon
- -
License
- caveman
- Caveman operates under a split license: MIT for the skill, Agent SDK, and initializer, and BSL-1.1 for the engine-linked runtime, which converts to Apache-2.0 by 2030 or four years after shipping.
- toon
- MIT
Last pushed
- caveman
- Sep 18, 2026
- toon
- Aug 7, 2026
Categories
- caveman
- AI Agents, Model Training
- toon
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- caveman
- Very active (96%)
- toon
- Active (82%)
Days since push
- caveman
- 0d
- toon
- 8d
Open issues (now)
- caveman
- 127
- toon
- 3
Stars delta
- caveman
- +8.0k (30d)
- toon
- +294 (30d)
Open issues delta
- caveman
- -358 (30d)
- toon
- -11 (30d)
Owner type
- caveman
- User
- toon
- Organization
OSV dependency advisories
- caveman
- No published findings from this source as of 2026-09-18
- toon
- No lockfile (source not queried)
Full report
- caveman
- Trust report
- toon
- Trust report
Typed relationship
Choose caveman if…
- caveman is primarily Go; toon is TypeScript.
- License: caveman is Other, toon is MIT.
- Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license..
- Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment..
- 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.
- Tags unique to caveman: ai, anthropic, caveman, claude.
- Also covers AI Agents, Model Training.
- caveman ships Docker support for self-hosted deployment.
- When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style.
When NOT to use caveman
- If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date.
- When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use.
Choose toon if…
- toon is primarily TypeScript; caveman is Go.
- License: toon is MIT, caveman is Other.
- Pricing: 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.
- 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.
- Tags unique to toon: data-format, serialization, tokenization.
- Also covers Data & Retrieval, LLM Frameworks.
- - When your project needs a compact yet readable data format specifically designed for LLM prompt generation.
When NOT to use toon
- - 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (JuliusBrussee/caveman) · observed Sep 20, 2026
- GitHub forks (JuliusBrussee/caveman) · observed Sep 20, 2026
- Last push (JuliusBrussee/caveman) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (toon-format/toon) · observed Sep 20, 2026
- GitHub forks (toon-format/toon) · observed Sep 20, 2026
- Last push (toon-format/toon) · observed Aug 7, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caveman 106k · toon 25k (synced Sep 20, 2026).
Common questions
- What is the difference between caveman and toon?
- caveman: Reduces token usage by 65% through minimalistic language for coding agents. toon: Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware 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 Go; toon is TypeScript; License: caveman is Other, toon is MIT; Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license.; Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment.; 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; Tags unique to caveman: ai, anthropic, caveman, claude; Also covers AI Agents, Model Training; caveman ships Docker support for self-hosted deployment; When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style.
- When should I choose toon over caveman?
- Choose toon over caveman when toon is primarily TypeScript; caveman is Go; License: toon is MIT, caveman is Other; Pricing: 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; 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; Tags unique to toon: data-format, serialization, tokenization; Also covers Data & Retrieval, LLM Frameworks; - When your project needs a compact yet readable data format specifically designed for LLM prompt generation.
- When should I avoid caveman?
- If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date. When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use.
- When should I avoid toon?
- - 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.
- Is caveman or toon more popular on GitHub?
- caveman has more GitHub stars (106,401 vs 25,180). 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: Other, toon: MIT).
- Where can I find alternatives to caveman or toon?
- GraphCanon lists graph-backed alternatives at caveman alternatives and toon alternatives (caveman markdown twin, toon markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison 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 trust report; toon trust report.