--- title: "promptsource vs caveman" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigscience-workshop-promptsource-vs-juliusbrussee-caveman" tools: ["bigscience-workshop-promptsource", "juliusbrussee-caveman"] --- # promptsource vs caveman *GraphCanon updated Jul 12, 2026* ## Verdict Pick promptsource when promptsource is primarily Python; caveman is JavaScript; pick caveman when caveman is primarily JavaScript; promptsource is Python. [promptsource](https://github.com/bigscience-workshop/promptsource) reports 3.0k GitHub stars, 377 forks, and 43 open issues, last pushed Oct 23, 2023. [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 [promptsource's repository](https://github.com/bigscience-workshop/promptsource) and [caveman's repository](https://github.com/JuliusBrussee/caveman). | | [promptsource](/tools/bigscience-workshop-promptsource.md) | [caveman](/tools/juliusbrussee-caveman.md) | | --- | --- | --- | | Tagline | Toolkit for creating, sharing and using natural language prompts. | Reduce token usage with concise 'caveman'-style prompts. | | Stars | 3,026 | 87,950 | | Forks | 377 | 5,052 | | Open issues | 43 | 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 | Developer Tools, LLM Frameworks, Model Training | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptsource](/tools/bigscience-workshop-promptsource.md) | [caveman](/tools/juliusbrussee-caveman.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 991d | 7d | | Open issues (now) | 43 | 392 | | Owner type | Organization | User | | Full report | [trust report](/tools/bigscience-workshop-promptsource/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 promptsource if… - promptsource is primarily Python; caveman is JavaScript. - License: promptsource is Apache-2.0, caveman is MIT. - Tags unique to promptsource: machine-learning, natural-language-processing, nlp, python. - Also covers Model Training. ### Choose caveman if… - caveman is primarily JavaScript; promptsource is Python. - License: caveman is MIT, promptsource is Apache-2.0. - Tags unique to caveman: ai, anthropic, caveman, claude-code. - 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 promptsource - Last GitHub push was 992 days ago (dormant maintenance, Oct 23, 2023). Validate activity before betting a new project on promptsource. - 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. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## 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 promptsource and caveman? promptsource: Toolkit for creating, sharing and using natural language prompts.. caveman: Reduce token usage with concise 'caveman'-style prompts.. See the comparison table for live GitHub stats and shared categories. ### When should I choose promptsource over caveman? Choose promptsource over caveman when promptsource is primarily Python; caveman is JavaScript; License: promptsource is Apache-2.0, caveman is MIT; Tags unique to promptsource: machine-learning, natural-language-processing, nlp, python; Also covers Model Training. ### When should I choose caveman over promptsource? Choose caveman over promptsource when caveman is primarily JavaScript; promptsource is Python; License: caveman is MIT, promptsource is Apache-2.0; Tags unique to caveman: ai, anthropic, caveman, claude-code; 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 promptsource? Last GitHub push was 992 days ago (dormant maintenance, Oct 23, 2023). Validate activity before betting a new project on promptsource. 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. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### 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 promptsource or caveman more popular on GitHub? caveman has more GitHub stars (87,950 vs 3,026). Stars measure visibility, not whether either tool fits your constraints. ### Are promptsource and caveman open source? Yes - both are open-source projects on GitHub (promptsource: Apache-2.0, caveman: MIT). ### Where can I find alternatives to promptsource or caveman? GraphCanon lists graph-backed alternatives at [promptsource alternatives](/tools/bigscience-workshop-promptsource/alternatives) and [caveman alternatives](/tools/juliusbrussee-caveman/alternatives) ([promptsource markdown twin](/tools/bigscience-workshop-promptsource/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/bigscience-workshop-promptsource-vs-juliusbrussee-caveman.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, promptsource or caveman? promptsource: Dormant. 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 promptsource and caveman? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptsource trust report](/tools/bigscience-workshop-promptsource/trust); [caveman trust report](/tools/juliusbrussee-caveman/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigscience-workshop-promptsource`](/api/graphcanon/graph?tool=bigscience-workshop-promptsource) - 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/_