--- title: "promptfoo vs Promptify" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/promptfoo-promptfoo-vs-promptslab-promptify" tools: ["promptfoo-promptfoo", "promptslab-promptify"] --- # promptfoo vs Promptify Neutral, constraint-first comparison with live GitHub stats. | | [promptfoo](/tools/promptfoo-promptfoo.md) | [Promptify](/tools/promptslab-promptify.md) | | --- | --- | --- | | Tagline | CLI and library for evaluating and red-teaming LLM apps | Task-based NLP engine with structured outputs and built-in evaluation | | Stars | 23,045 | 4,620 | | Forks | 2,056 | 362 | | Open issues | 404 | 60 | | Language | TypeScript | Python | | Adopt for | Promptfoo is a CLI and library for evaluating Language Model (LM) applications, including testing prompts and models, red teaming LM apps, and integrating with CI/CD pipelines. It's designed to help ensure the security,靠 | Promptify is a Python library designed for task-based Natural Language Processing with Pydantic structured outputs and built-in evaluation features, leveraging LiteLLM as its universal LLM backend. It supports prompt版本控制 | | Persona | - | - | | Runtime | - | - | | License | MIT | Promptify is available under the Apache-2.0 license, granting users permissions to use, modify, distribute, and sell this software. | | Categories | Evaluation & Observability | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptfoo](/tools/promptfoo-promptfoo.md) | [Promptify](/tools/promptslab-promptify.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 104d | | Open issues (now) | 404 | 60 | | Full report | [trust report](/tools/promptfoo-promptfoo/trust.md) | [trust report](/tools/promptslab-promptify/trust.md) | **Typed relationship:** promptfoo _(alternative)_ Promptify Both Promptify and promptfoo deal with evaluating prompts in the context of LLM applications, but they approach it differently. While Promptify emphasizes structured outputs and task-based NLP, promptfoo focuses on CLI evaluation and red-teaming. ## Shared compatibility - **Python**: [promptfoo](/tools/promptfoo-promptfoo.md) - Python runtime; [Promptify](/tools/promptslab-promptify.md) - Python runtime ## Decision facts: promptfoo - **Adopt for:** Promptfoo is a CLI and library for evaluating Language Model (LM) applications, including testing prompts and models, red teaming LM apps, and integrating with CI/CD pipelines. It's designed to help ensure the security,靠 ## Decision facts: Promptify - **Requirements:** Requires Python 3.9 or higher; Can be installed via pip or directly from GitHub - **Adopt for:** Promptify is a Python library designed for task-based Natural Language Processing with Pydantic structured outputs and built-in evaluation features, leveraging LiteLLM as its universal LLM backend. It supports prompt版本控制 - **License detail:** Promptify is available under the Apache-2.0 license, granting users permissions to use, modify, distribute, and sell this software. ## Choose when ### Choose promptfoo if… - promptfoo is primarily TypeScript; Promptify is Python. - License: promptfoo is MIT, Promptify is Apache-2.0. - Both Promptify and promptfoo deal with evaluating prompts in the context of LLM applications, but they approach it differently. While Promptify emphasizes structured outputs and task-based NLP, promptfoo focuses on CLI evaluation and red-teaming. - Tags unique to promptfoo: ci-cd, evaluation, prompt-testing, ci. - promptfoo ships Docker support for self-hosted deployment. - When you need to evaluate the performance of different LLMs such as OpenAI, Anthropic, Azure, Bedrock, Ollama, etc., within a single interface. ### Choose Promptify if… - Promptify is primarily Python; promptfoo is TypeScript. - License: Promptify is Apache-2.0, promptfoo is MIT. - Requirements: Requires Python 3.9 or higher; Can be installed via pip or directly from GitHub. - Both Promptify and promptfoo deal with evaluating prompts in the context of LLM applications, but they approach it differently. While Promptify emphasizes structured outputs and task-based NLP, promptfoo focuses on CLI evaluation and red-teaming. - Tags unique to Promptify: gpt-3, nlp, machine-learning, gpt-4. - Also covers LLM Frameworks. - When your application requires structured NLP outputs with clear schemas defined using Pydantic ## When NOT to use promptfoo - When your environment does not support Node.js, as this is a requirement for Promptfoo's functionalities. - If you are looking for a tool that only focuses on model training or fine-tuning without the emphasis on evaluation and red-teaming aspects of language models. ## When NOT to use Promptify - When your project does not require structured outputs or if Pydantic schemas are not suitable for your use case - If you do not need built-in evaluation metrics for prompt performance and prefer more customization in the evaluation process - In situations where integration with only a few specific LLMs is required, as Promptify's advantage lies in its flexibility across various providers ## Common questions ### What is the difference between promptfoo and Promptify? promptfoo: CLI and library for evaluating and red-teaming LLM apps. Promptify: Task-based NLP engine with structured outputs and built-in evaluation. See the comparison table for live GitHub stats and shared categories. ### When should I choose promptfoo over Promptify? Choose promptfoo over Promptify when promptfoo is primarily TypeScript; Promptify is Python; License: promptfoo is MIT, Promptify is Apache-2.0; Both Promptify and promptfoo deal with evaluating prompts in the context of LLM applications, but they approach it differently. While Promptify emphasizes structured outputs and task-based NLP, promptfoo focuses on CLI evaluation and red-teaming; Tags unique to promptfoo: ci-cd, evaluation, prompt-testing, ci; promptfoo ships Docker support for self-hosted deployment; When you need to evaluate the performance of different LLMs such as OpenAI, Anthropic, Azure, Bedrock, Ollama, etc., within a single interface. ### When should I choose Promptify over promptfoo? Choose Promptify over promptfoo when Promptify is primarily Python; promptfoo is TypeScript; License: Promptify is Apache-2.0, promptfoo is MIT; Requirements: Requires Python 3.9 or higher; Can be installed via pip or directly from GitHub; Both Promptify and promptfoo deal with evaluating prompts in the context of LLM applications, but they approach it differently. While Promptify emphasizes structured outputs and task-based NLP, promptfoo focuses on CLI evaluation and red-teaming; Tags unique to Promptify: gpt-3, nlp, machine-learning, gpt-4; Also covers LLM Frameworks; When your application requires structured NLP outputs with clear schemas defined using Pydantic. ### When should I avoid promptfoo? When your environment does not support Node.js, as this is a requirement for Promptfoo's functionalities. If you are looking for a tool that only focuses on model training or fine-tuning without the emphasis on evaluation and red-teaming aspects of language models. ### When should I avoid Promptify? When your project does not require structured outputs or if Pydantic schemas are not suitable for your use case If you do not need built-in evaluation metrics for prompt performance and prefer more customization in the evaluation process In situations where integration with only a few specific LLMs is required, as Promptify's advantage lies in its flexibility across various providers ### Is promptfoo or Promptify more popular on GitHub? promptfoo has more GitHub stars (23,045 vs 4,620). Stars measure visibility, not whether either tool fits your constraints. ### Are promptfoo and Promptify open source? Yes - both are open-source projects on GitHub (promptfoo: MIT, Promptify: Apache-2.0). ### Where can I find alternatives to promptfoo or Promptify? GraphCanon lists graph-backed alternatives at /tools/promptfoo-promptfoo/alternatives and /tools/promptslab-promptify/alternatives (/tools/promptfoo-promptfoo/alternatives.md, /tools/promptslab-promptify/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/promptfoo-promptfoo-vs-promptslab-promptify.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, promptfoo or Promptify? promptfoo: Very active. Promptify: Slowing. 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 promptfoo and Promptify? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: promptfoo: /tools/promptfoo-promptfoo/trust; Promptify: /tools/promptslab-promptify/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=promptfoo-promptfoo`](/api/graphcanon/graph?tool=promptfoo-promptfoo) - 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/_