Comparison
giskard-oss vs promptfoo
Verdict
Pick giskard-oss if giskard is an open-source library that specializes in testing and evaluating agentic systems like LLM agents using Python modules for checks and scanning vulnerabilities; pick promptfoo if promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.
Markdown twin · giskard-oss alternatives · promptfoo alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | giskard-oss | promptfoo |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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 |
Tagline
- giskard-oss
- Open-Source Evaluation & Testing library for LLM Agents
- promptfoo
- Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.
Stars
- giskard-oss
- 5.7k
- promptfoo
- 24k
Forks
- giskard-oss
- 511
- promptfoo
- 2.1k
Open issues
- giskard-oss
- 92
- promptfoo
- 481
Language
- giskard-oss
- Python
- promptfoo
- TypeScript
Adopt for
- giskard-oss
- Giskard is an open-source library that specializes in testing and evaluating agentic systems like LLM agents using Python modules for checks and scanning vulnerabilities.
- promptfoo
- promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.
Persona
- giskard-oss
- -
- promptfoo
- -
Runtime
- giskard-oss
- -
- promptfoo
- -
License
- giskard-oss
- Apache-2.0
- promptfoo
- MIT
Last pushed
- giskard-oss
- Aug 1, 2026
- promptfoo
- Aug 1, 2026
Categories
- giskard-oss
- Evaluation & Observability
- promptfoo
- Evaluation & Observability, LLM Frameworks
Trust and health
Open issues (now)
- giskard-oss
- 92
- promptfoo
- 481
Full report
- giskard-oss
- Trust report
- promptfoo
- Trust report
Typed relationship
Shared compatibility
- Python · giskard-oss: Python runtime · promptfoo: Python runtime
Choose giskard-oss if…
- giskard-oss is primarily Python; promptfoo is TypeScript.
- License: giskard-oss is Apache-2.0, promptfoo is MIT.
- Requirements: Requires Python 3.12+.
- Both Giskard and PromptFoo offer evaluation and red-teaming capabilities for LLM apps, targeting similar functionality but with different implementations.
- Tags unique to giskard-oss: agent-evaluation, ai-red-team, ai-security, ai-testing.
- Use Giskard when you need a tool specialized in assessing the vulnerabilities of language model agents through red teaming and prompt injection scenarios.
When NOT to use giskard-oss
- Avoid using Giskard if you do not require comprehensive testing features like red teaming or specific checks tailored for language model agents.
- Do not use this library if your project is in a programming language other than Python, as Giskard specifically caters to the Python ecosystem.
Choose promptfoo if…
- promptfoo is primarily TypeScript; giskard-oss is Python.
- License: promptfoo is MIT, giskard-oss is Apache-2.0.
- Both Giskard and PromptFoo offer evaluation and red-teaming capabilities for LLM apps, targeting similar functionality but with different implementations.
- Tags unique to promptfoo: ci-cd, evaluation-framework, pentesting, red-teaming.
- Also covers LLM Frameworks.
- promptfoo ships Docker support for self-hosted deployment.
- For comparing performance across GPT, Claude, Gemini, DeepSeek
When NOT to use promptfoo
- If you do not require comparative analysis among multiple LLM models
- If your project does not benefit from the specific red teaming capabilities offered by promptfoo
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Giskard-AI/giskard-oss) · observed Aug 2, 2026
- GitHub forks (Giskard-AI/giskard-oss) · observed Aug 2, 2026
- Last push (Giskard-AI/giskard-oss) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (promptfoo/promptfoo) · observed Aug 2, 2026
- GitHub forks (promptfoo/promptfoo) · observed Aug 2, 2026
- Last push (promptfoo/promptfoo) · observed Aug 1, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: giskard-oss 5.7k · promptfoo 24k (synced Aug 2, 2026).
Common questions
- What is the difference between giskard-oss and promptfoo?
- giskard-oss: Open-Source Evaluation & Testing library for LLM Agents. promptfoo: Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.. See the comparison table for live GitHub stats and shared categories.
- When should I choose giskard-oss over promptfoo?
- Choose giskard-oss over promptfoo when giskard-oss is primarily Python; promptfoo is TypeScript; License: giskard-oss is Apache-2.0, promptfoo is MIT; Requirements: Requires Python 3.12+; Both Giskard and PromptFoo offer evaluation and red-teaming capabilities for LLM apps, targeting similar functionality but with different implementations; Tags unique to giskard-oss: agent-evaluation, ai-red-team, ai-security, ai-testing; Use Giskard when you need a tool specialized in assessing the vulnerabilities of language model agents through red teaming and prompt injection scenarios.
- When should I choose promptfoo over giskard-oss?
- Choose promptfoo over giskard-oss when promptfoo is primarily TypeScript; giskard-oss is Python; License: promptfoo is MIT, giskard-oss is Apache-2.0; Both Giskard and PromptFoo offer evaluation and red-teaming capabilities for LLM apps, targeting similar functionality but with different implementations; Tags unique to promptfoo: ci-cd, evaluation-framework, pentesting, red-teaming; Also covers LLM Frameworks; promptfoo ships Docker support for self-hosted deployment; For comparing performance across GPT, Claude, Gemini, DeepSeek.
- When should I avoid giskard-oss?
- Avoid using Giskard if you do not require comprehensive testing features like red teaming or specific checks tailored for language model agents. Do not use this library if your project is in a programming language other than Python, as Giskard specifically caters to the Python ecosystem.
- When should I avoid promptfoo?
- If you do not require comparative analysis among multiple LLM models If your project does not benefit from the specific red teaming capabilities offered by promptfoo
- Is giskard-oss or promptfoo more popular on GitHub?
- promptfoo has more GitHub stars (23,838 vs 5,727). Stars measure visibility, not whether either tool fits your constraints.
- Are giskard-oss and promptfoo open source?
- Yes - both are open-source projects on GitHub (giskard-oss: Apache-2.0, promptfoo: MIT).
- Where can I find alternatives to giskard-oss or promptfoo?
- GraphCanon lists graph-backed alternatives at giskard-oss alternatives and promptfoo alternatives (giskard-oss markdown twin, promptfoo 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, giskard-oss or promptfoo?
- giskard-oss: Very active. promptfoo: Very 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 giskard-oss and promptfoo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: giskard-oss trust report; promptfoo trust report.