--- title: "eval-view vs caveman" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hidai25-eval-view-vs-juliusbrussee-caveman" tools: ["hidai25-eval-view", "juliusbrussee-caveman"] --- # eval-view vs caveman *GraphCanon updated Jul 11, 2026* ## Verdict Pick eval-view when eval-view is primarily Python; caveman is JavaScript; pick caveman when caveman is primarily JavaScript; eval-view is Python. [eval-view](https://evalview.com) reports 122 GitHub stars, 21 forks, and 6 open issues, last pushed Jul 3, 2026. [caveman](https://caveman.so/) has 88k stars, 5.1k forks, and 392 open issues, last pushed Jul 3, 2026. Figures are from public GitHub metadata via [eval-view's repository](https://github.com/hidai25/eval-view) and [caveman's repository](https://github.com/JuliusBrussee/caveman). | | [eval-view](/tools/hidai25-eval-view.md) | [caveman](/tools/juliusbrussee-caveman.md) | | --- | --- | --- | | Tagline | Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic. | Reduce token usage with concise 'caveman'-style prompts. | | Stars | 122 | 87,950 | | Forks | 21 | 5,052 | | Open issues | 6 | 392 | | Language | Python | JavaScript | | Adopt for | - | The **caveman** tool is designed for developers and AI users who aim to optimize their token usage through the generation of more concise prompts, thereby potentially reducing costs and improving efficiency. However, it犺 | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [eval-view](/tools/hidai25-eval-view.md) | [caveman](/tools/juliusbrussee-caveman.md) | | --- | --- | --- | | Days since push | 8d | 7d | | Open issues (now) | 6 | 392 | | Security scan | 1 medium (1 medium) | No lockfile | | Full report | [trust report](/tools/hidai25-eval-view/trust.md) | [trust report](/tools/juliusbrussee-caveman/trust.md) | ## Decision facts: caveman - **Adopt for:** The **caveman** tool is designed for developers and AI users who aim to optimize their token usage through the generation of more concise prompts, thereby potentially reducing costs and improving efficiency. However, it犺 ## Choose when ### Choose eval-view if… - eval-view is primarily Python; caveman is JavaScript. - License: eval-view is Apache-2.0, caveman is MIT. - Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents. - Also covers AI Agents. - eval-view ships Docker support for self-hosted deployment. ### Choose caveman if… - caveman is primarily JavaScript; eval-view is Python. - License: caveman is MIT, eval-view is Apache-2.0. - Tags unique to caveman: ai, caveman, claude-code, prompt-engineering. - When you need to significantly cut down on token usage in AI interactions, up to 65%, without losing essential information content. ## When NOT to use eval-view - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use caveman - When requiring complex and detailed prompts that necessitate more nuanced expression beyond simple, 'caveman'-style sentences. - For situations where adherence to formal or specific linguistic structures is mandatory for the task's success. ## Common questions ### What is the difference between eval-view and caveman? eval-view: Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.. caveman: Reduce token usage with concise 'caveman'-style prompts.. See the comparison table for live GitHub stats and shared categories. ### When should I choose eval-view over caveman? Choose eval-view over caveman when eval-view is primarily Python; caveman is JavaScript; License: eval-view is Apache-2.0, caveman is MIT; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents; Also covers AI Agents; eval-view ships Docker support for self-hosted deployment. ### When should I choose caveman over eval-view? Choose caveman over eval-view when caveman is primarily JavaScript; eval-view is Python; License: caveman is MIT, eval-view is Apache-2.0; Tags unique to caveman: ai, caveman, claude-code, prompt-engineering; When you need to significantly cut down on token usage in AI interactions, up to 65%, without losing essential information content. ### When should I avoid eval-view? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid caveman? When requiring complex and detailed prompts that necessitate more nuanced expression beyond simple, 'caveman'-style sentences. For situations where adherence to formal or specific linguistic structures is mandatory for the task's success. ### Is eval-view or caveman more popular on GitHub? caveman has more GitHub stars (87,950 vs 122). Stars measure visibility, not whether either tool fits your constraints. ### Are eval-view and caveman open source? Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, caveman: MIT). ### Where can I find alternatives to eval-view or caveman? GraphCanon lists graph-backed alternatives at [eval-view alternatives](/tools/hidai25-eval-view/alternatives) and [caveman alternatives](/tools/juliusbrussee-caveman/alternatives) ([eval-view markdown twin](/tools/hidai25-eval-view/alternatives.md), [caveman markdown twin](/tools/juliusbrussee-caveman/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 [this comparison](/compare/hidai25-eval-view-vs-juliusbrussee-caveman.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, eval-view or caveman? eval-view: Active. caveman: 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 eval-view and caveman? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [eval-view trust report](/tools/hidai25-eval-view/trust); [caveman trust report](/tools/juliusbrussee-caveman/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hidai25-eval-view`](/api/graphcanon/graph?tool=hidai25-eval-view) - 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/_