Comparison
Open-Prompt-Injection vs promptfoo
Verdict
Pick Open-Prompt-Injection if open-Prompt-Injection is a Python-based toolkit for benchmarking prompt injection attacks on LLMs, offering customization through config files and support for various LLM APIs; pick promptfoo if promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.
Markdown twin · Open-Prompt-Injection alternatives · promptfoo alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | Open-Prompt-Injection | promptfoo |
|---|---|---|
| Maintenance | Slowing (279d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- Open-Prompt-Injection
- Benchmark and toolkit for prompt injection attacks and defenses in LLMs
- promptfoo
- Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.
Stars
- Open-Prompt-Injection
- 470
- promptfoo
- 24k
Forks
- Open-Prompt-Injection
- 74
- promptfoo
- 2.1k
Open issues
- Open-Prompt-Injection
- 14
- promptfoo
- 481
Language
- Open-Prompt-Injection
- Python
- promptfoo
- TypeScript
Adopt for
- Open-Prompt-Injection
- Open-Prompt-Injection is a Python-based toolkit for benchmarking prompt injection attacks on LLMs, offering customization through config files and support for various LLM APIs.
- promptfoo
- promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.
Persona
- Open-Prompt-Injection
- -
- promptfoo
- -
Runtime
- Open-Prompt-Injection
- -
- promptfoo
- -
License
- Open-Prompt-Injection
- MIT
- promptfoo
- MIT
Last pushed
- Open-Prompt-Injection
- Oct 29, 2025
- promptfoo
- Aug 1, 2026
Categories
- Open-Prompt-Injection
- Evaluation & Observability, LLM Frameworks
- promptfoo
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- Open-Prompt-Injection
- Slowing (36%)
- promptfoo
- Very active (96%)
Days since push
- Open-Prompt-Injection
- 279d
- promptfoo
- 0d
Open issues (now)
- Open-Prompt-Injection
- 14
- promptfoo
- 481
Owner type
- Open-Prompt-Injection
- User
- promptfoo
- Organization
Full report
- Open-Prompt-Injection
- Trust report
- promptfoo
- Trust report
Shared compatibility
- Python · Open-Prompt-Injection: Python runtime · promptfoo: Python runtime
Choose Open-Prompt-Injection if…
- Open-Prompt-Injection is primarily Python; promptfoo is TypeScript.
- Tags unique to Open-Prompt-Injection: llm, llm security, prompt-injection, security-and-privacy.
- You prioritize security testing specifically for prompt injection vulnerabilities in your LLM applications.
When NOT to use Open-Prompt-Injection
- You require broader, more generalized security features not centered on prompt injection attacks.
- Your project does not involve working with Google PaLM2 or other specific models like Meta's Llama and OpenAI's GPT.
Choose promptfoo if…
- promptfoo is primarily TypeScript; Open-Prompt-Injection is Python.
- Tags unique to promptfoo: ci-cd, evaluation-framework, llm-evaluation, pentesting.
- 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 (liu00222/Open-Prompt-Injection) · observed Aug 5, 2026
- GitHub forks (liu00222/Open-Prompt-Injection) · observed Aug 5, 2026
- Last push (liu00222/Open-Prompt-Injection) · observed Oct 29, 2025
- License file (MIT) · observed Aug 5, 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: Open-Prompt-Injection 470 · promptfoo 24k (synced Aug 5, 2026).
Common questions
- What is the difference between Open-Prompt-Injection and promptfoo?
- Open-Prompt-Injection: Benchmark and toolkit for prompt injection attacks and defenses in LLMs. 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 Open-Prompt-Injection over promptfoo?
- Choose Open-Prompt-Injection over promptfoo when Open-Prompt-Injection is primarily Python; promptfoo is TypeScript; Tags unique to Open-Prompt-Injection: llm, llm security, prompt-injection, security-and-privacy; You prioritize security testing specifically for prompt injection vulnerabilities in your LLM applications.
- When should I choose promptfoo over Open-Prompt-Injection?
- Choose promptfoo over Open-Prompt-Injection when promptfoo is primarily TypeScript; Open-Prompt-Injection is Python; Tags unique to promptfoo: ci-cd, evaluation-framework, llm-evaluation, pentesting; promptfoo ships Docker support for self-hosted deployment; For comparing performance across GPT, Claude, Gemini, DeepSeek.
- When should I avoid Open-Prompt-Injection?
- You require broader, more generalized security features not centered on prompt injection attacks. Your project does not involve working with Google PaLM2 or other specific models like Meta's Llama and OpenAI's GPT.
- 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 Open-Prompt-Injection or promptfoo more popular on GitHub?
- promptfoo has more GitHub stars (23,838 vs 470). Stars measure visibility, not whether either tool fits your constraints.
- Are Open-Prompt-Injection and promptfoo open source?
- Yes - both are open-source projects on GitHub (Open-Prompt-Injection: MIT, promptfoo: MIT).
- Where can I find alternatives to Open-Prompt-Injection or promptfoo?
- GraphCanon lists graph-backed alternatives at Open-Prompt-Injection alternatives and promptfoo alternatives (Open-Prompt-Injection 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, Open-Prompt-Injection or promptfoo?
- Open-Prompt-Injection: Slowing. 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 Open-Prompt-Injection and promptfoo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Open-Prompt-Injection trust report; promptfoo trust report.