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Comparison

promptfoo vs Promptify

Verdict

Pick promptfoo if promptfoo is a TypeScript-based tool for evaluating and testing prompts, AI agents, and retrieval-augmented generation systems. It supports red teaming and vulnerability scanning for AI models, with CI/CD integration; pick Promptify if 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.

Markdown twin · promptfoo alternatives · Promptify alternatives

GraphCanon updated Sep 20, 2026

17views this month

promptfoo logo

promptfoo

promptfoo/promptfoo

★ 25kpushed Sep 18, 2026
vs
Promptify logo

Promptify

promptslab/Promptify

★ 4.6kpushed Mar 27, 2026

Trust & integrity

SignalpromptfooPromptify
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (164d since push)
As of Sep 7, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 7, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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
promptfoo trust reportPromptify trust reportTrust methodology

Tagline

promptfoo
Test prompts, agents, and RAGs. Compare performance of various LLMs.
Promptify
Task-based NLP engine with Pydantic structured outputs

Stars

promptfoo
25k
Promptify
4.6k

Forks

promptfoo
2.3k
Promptify
363

Open issues

promptfoo
631
Promptify
60

Language

promptfoo
TypeScript
Promptify
Python

Adopt for

promptfoo
Promptfoo is a TypeScript-based tool for evaluating and testing prompts, AI agents, and retrieval-augmented generation systems. It supports red teaming and vulnerability scanning for AI models, with CI/CD integration.
Promptify
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

promptfoo
-
Promptify
-

Runtime

promptfoo
-
Promptify
-

License

promptfoo
MIT
Promptify
Promptify is available under the Apache-2.0 license, granting users permissions to use, modify, distribute, and sell this software.

Last pushed

promptfoo
Sep 18, 2026
Promptify
Mar 27, 2026

Categories

promptfoo
Evaluation & Observability
Promptify
Evaluation & Observability, LLM Frameworks

Trust and health

Maintenance

promptfoo
Very active (96%)
Promptify
Slowing (36%)

Days since push

promptfoo
0d
Promptify
164d

Open issues (now)

promptfoo
631
Promptify
60

Stars delta

promptfoo
+1.4k (30d)
Promptify
+8 (30d)

Open issues delta

promptfoo
+150 (30d)
Promptify
0 (30d)

Full report

promptfoo
Trust report
Promptify
Trust report

Typed relationship

promptfoo alternative PromptifyBoth 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: Python runtime · Promptify: Python runtime

Choose promptfoo if…

  • promptfoo is primarily TypeScript; Promptify is Python.
  • License: promptfoo is MIT, Promptify is Apache-2.0.
  • Requirements: Requires Node.js >=22.22.0, with Node.js 24 LTS recommended.; API keys for most LLM providers are required and should be set as environment variables..
  • 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, ci-cd, cicd, evaluation.
  • promptfoo ships Docker support for self-hosted deployment.
  • When you need to compare the performance of various LLMs such as GPT, Claude, Gemini, DeepSeek, and more.

When NOT to use promptfoo

  • If you are working with languages other than TypeScript, as Promptfoo is specifically designed for TypeScript environments.
  • When you do not need to compare multiple LLMs and only require a simple prompt testing tool without advanced features like red teaming.
GitHubDetails

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: chatgpt, chatgpt-api, gpt-3, gpt-4.
  • Also covers LLM Frameworks.
  • When your application requires structured NLP outputs with clear schemas defined using Pydantic

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
GitHubDetails

Explore

promptfoo trust report →Promptify trust report →Evaluation & Observability category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: promptfoo 25k · Promptify 4.6k (synced Sep 20, 2026).

Common questions

What is the difference between promptfoo and Promptify?
promptfoo: Test prompts, agents, and RAGs. Compare performance of various LLMs.. Promptify: Task-based NLP engine with Pydantic structured outputs. 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; Requirements: Requires Node.js >=22.22.0, with Node.js 24 LTS recommended.; API keys for most LLM providers are required and should be set as environment variables.; 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, ci-cd, cicd, evaluation; promptfoo ships Docker support for self-hosted deployment; When you need to compare the performance of various LLMs such as GPT, Claude, Gemini, DeepSeek, and more.
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: chatgpt, chatgpt-api, gpt-3, gpt-4; Also covers LLM Frameworks; When your application requires structured NLP outputs with clear schemas defined using Pydantic.
When should I avoid promptfoo?
If you are working with languages other than TypeScript, as Promptfoo is specifically designed for TypeScript environments. When you do not need to compare multiple LLMs and only require a simple prompt testing tool without advanced features like red teaming.
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 (25,251 vs 4,638). 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 promptfoo alternatives and Promptify alternatives (promptfoo markdown twin, Promptify 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, 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 trust report; Promptify trust report.

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