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📖 The AI Tool Bible

Giskard vs Promptfoo

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

Giskard logo
Giskard
Evaluation
Promptfoo logo
Promptfoo
Evaluation
Tagline
Giskard
Continuous AI red teaming platform that stress-tests LLM agents for vulnerabilities before they hit production.
Promptfoo
Open-source eval and red-teaming framework for LLM apps, prompts, and RAG pipelines.
Pricing
Giskard
Freemium· Open-source free tier; Giskard Hub enterprise pricing on request
Promptfoo
Freemium· Community: Free · Enterprise: Custom · On-Premise: Custom
Free trial
Giskard
Yes
Promptfoo
Yes
API
Giskard
Yes
Promptfoo
Yes
Platforms
Giskard
apiweb
Promptfoo
cliapi
Open source
Giskard
Yes · Apache-2.0
Promptfoo
Yes · NOASSERTION
GitHub stars
Giskard
5,846
checked 2026-09-29
Promptfoo
22,865
checked 2026-09-29
Last GitHub push
Giskard
2026-09-29
Promptfoo
2026-08-28
First commit
Giskard
2022-03
Promptfoo
2024-05
Company
Giskard
Giskard AI
Promptfoo
OpenAI
Model used
Giskard
Multi-model
Promptfoo
Multi-model
Best for
Giskard
Pick Giskard if you are shipping a customer-facing LLM agent into a regulated industry and need a defensible pre-launch security and quality sign-off.
Promptfoo
Pick Promptfoo if you ship LLM features to production and want versioned evals, regression tests, and automated red-teaming in CI.
Not for
Giskard
Skip it if you are a solo dev prototyping with a small model and just want quick eval scripts rather than an enterprise red-teaming program.
Promptfoo
Skip it if you just need a chat playground or a no-code prompt comparison tool with zero setup.
Editorial score
Giskard
8.2 / 10
Promptfoo
7.2 / 10
Use cases
Giskard
llm-red-teamingagent-security-testinghallucination-detectionprompt-injection-testingcompliance-evaluation
Promptfoo
llm-evalsred-teamingprompt-regressionrag-testingai-securityci-cd-guardrails
Pros
Giskard
  • Covers the full red-team loop: detect, qualify, remediate, verify
  • Serious compliance posture (SOC 2 Type II, HIPAA, GDPR, on-prem)
  • Open-source Python library for solo/dev use
  • Enterprise logos in finance, retail, and automotive
  • Black-box testing works without access to model internals
Promptfoo
  • Genuinely open source and self-hostable, not a fake-OSS funnel
  • Model-agnostic; works across OpenAI, Anthropic, local, custom APIs
  • Red-teaming covers prompt injection, jailbreaks, PII, policy violations
  • Clean CI integration with GitHub/GitLab/Jenkins for regression catching
  • Large community and Fortune-500 adoption signal staying power
Cons
Giskard
  • Hub pricing is contact-sales with no public tiers
  • Enterprise framing is heavy for small teams or prototypes
  • Vulnerability reports depend on human qualification workflow
Promptfoo
  • YAML-heavy config has a learning curve for non-engineers
  • Enterprise pricing is opaque (contact sales only)
  • Red-team scans can be slow and token-expensive at scale
Website
Giskard
www.giskard.ai
Promptfoo
promptfoo.dev

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.

Pick Giskard if
  • ✅ Covers the full red-team loop: detect, qualify, remediate, verify
  • ✅ Serious compliance posture (SOC 2 Type II, HIPAA, GDPR, on-prem)
  • ✅ Open-source Python library for solo/dev use
  • ✅ Enterprise logos in finance, retail, and automotive
Pick Promptfoo if
  • ✅ Genuinely open source and self-hostable, not a fake-OSS funnel
  • ✅ Model-agnostic; works across OpenAI, Anthropic, local, custom APIs
  • ✅ Red-teaming covers prompt injection, jailbreaks, PII, policy violations
  • ✅ Clean CI integration with GitHub/GitLab/Jenkins for regression catching
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