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Inspect AI vs Promptfoo

A side-by-side comparison of Inspect AI and Promptfoo, two Eval tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Inspect AI

Eval

Open-source Python framework for large language model evaluations.

View Inspect AI

Promptfoo

Eval

LLM eval CLI with rubric scoring and golden sets.

View Promptfoo

At a glance

Feature comparison of Inspect AI and Promptfoo
AttributeInspect AIPromptfoo
CategoryEvalEval
PricingFREEFREE
LicenseOpen sourceOpen source
Deployment
Platforms (differs)CLI, APICLI, macOS, Windows, Linux
Model supportBYO key / modelBYO key / model
Vendor (differs)UK AI Security InstitutePromptfoo
Capabilities (differs)
  • Sandboxed code execution
  • Agent framework
  • Tool / function calling
  • LLM evaluation
  • LLM observability
  • LLM evaluation
  • Red-teaming
  • Guardrails

The honest brief

Inspect AI

Built by the UK AI Security Institute and adopted by Anthropic, DeepMind, METR, and Apollo as a shared eval framework; MIT.

  • Adopted across major safety labs
  • Composable datasets/solvers/scorers
  • 200+ prebuilt evals (inspect_evals)
  • Sandboxed tool + multi-turn agent runs
  • MIT-licensed, provider-agnostic
  • Python/code framework, not a UI product
  • Steeper than no-code eval tools
  • You wire up your own model keys

Promptfoo

Define evals in plain YAML and run one goldset across models in CI — a prompt regression fails the build like any other test.

  • YAML-driven, version-controllable evals
  • Runs in CI, model-agnostic
  • Goldsets and rubric scoring
  • Also does red-teaming/security scans
  • CLI-first, less of a hosted UI
  • Teams may want managed dashboards
  • Config sprawl on large eval suites

When to pick which

Across the signals we compare, Inspect AI and Promptfoo differ on platforms:

Platforms
CLI, API · CLI, macOS, Windows, Linux

Their capability lists differ in recorded depth — compare the full lists above before deciding.