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Comparison

vigil-llm vs promptfoo

Verdict

Pick vigil-llm if vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs; pick promptfoo if promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.

Markdown twin · vigil-llm alternatives · promptfoo alternatives

GraphCanon updated 2w

vigil-llm logo

vigil-llm

deadbits/vigil-llm

★ 491pushed Jan 31, 2024
vs
promptfoo logo

promptfoo

promptfoo/promptfoo

★ 24kpushed Aug 1, 2026

Trust & integrity

Signalvigil-llmpromptfoo
Maintenance
Dormant (901d since push)
As of 3w · github_public_v1
Very active (0d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · 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
vigil-llm trust reportpromptfoo trust reportTrust methodology

Tagline

vigil-llm
Detect prompt injections and other risky inputs in LLMs
promptfoo
Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.

Stars

vigil-llm
491
promptfoo
24k

Forks

vigil-llm
56
promptfoo
2.1k

Open issues

vigil-llm
16
promptfoo
481

Language

vigil-llm
Python
promptfoo
TypeScript

Adopt for

vigil-llm
Vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs.
promptfoo
promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.

Persona

vigil-llm
-
promptfoo
-

Runtime

vigil-llm
-
promptfoo
-

License

vigil-llm
Apache-2.0
promptfoo
MIT

Last pushed

vigil-llm
Jan 31, 2024
promptfoo
Aug 1, 2026

Categories

vigil-llm
Evaluation & Observability
promptfoo
Evaluation & Observability, LLM Frameworks

Trust and health

Maintenance

vigil-llm
Dormant (18%)
promptfoo
Very active (96%)

Days since push

vigil-llm
901d
promptfoo
0d

Open issues (now)

vigil-llm
16
promptfoo
481

Owner type

vigil-llm
User
promptfoo
Organization

Full report

vigil-llm
Trust report
promptfoo
Trust report

Typed relationship

vigil-llm alternative promptfoo`Vigil` and `PromptFoo` both evaluate LLM inputs, but they do so from different perspectives: security vs. quality/red-teaming.

Shared compatibility

  • Python · vigil-llm: Python runtime · promptfoo: Python runtime

Choose vigil-llm if…

  • vigil-llm is primarily Python; promptfoo is TypeScript.
  • License: vigil-llm is Apache-2.0, promptfoo is MIT.
  • `Vigil` and `PromptFoo` both evaluate LLM inputs, but they do so from different perspectives: security vs. quality/red-teaming.
  • Tags unique to vigil-llm: adversarial-attacks, large language models, llm security, prompt-injection.
  • When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior.

When NOT to use vigil-llm

  • If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary.
  • For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead.
GitHubDetails

Choose promptfoo if…

  • promptfoo is primarily TypeScript; vigil-llm is Python.
  • License: promptfoo is MIT, vigil-llm is Apache-2.0.
  • `Vigil` and `PromptFoo` both evaluate LLM inputs, but they do so from different perspectives: security vs. quality/red-teaming.
  • Tags unique to promptfoo: ci-cd, evaluation-framework, llm-evaluation, pentesting.
  • Also covers LLM Frameworks.
  • 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
GitHubDetails

Explore

vigil-llm trust report →promptfoo 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: vigil-llm 491 · promptfoo 24k (synced Jul 21, 2026).

Common questions

What is the difference between vigil-llm and promptfoo?
vigil-llm: Detect prompt injections and other risky inputs 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 vigil-llm over promptfoo?
Choose vigil-llm over promptfoo when vigil-llm is primarily Python; promptfoo is TypeScript; License: vigil-llm is Apache-2.0, promptfoo is MIT; Vigil and PromptFoo both evaluate LLM inputs, but they do so from different perspectives: security vs. quality/red-teaming; Tags unique to vigil-llm: adversarial-attacks, large language models, llm security, prompt-injection; When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior.
When should I choose promptfoo over vigil-llm?
Choose promptfoo over vigil-llm when promptfoo is primarily TypeScript; vigil-llm is Python; License: promptfoo is MIT, vigil-llm is Apache-2.0; Vigil and PromptFoo both evaluate LLM inputs, but they do so from different perspectives: security vs. quality/red-teaming; Tags unique to promptfoo: ci-cd, evaluation-framework, llm-evaluation, pentesting; Also covers LLM Frameworks; For comparing performance across GPT, Claude, Gemini, DeepSeek.
When should I avoid vigil-llm?
If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary. For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead.
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 vigil-llm or promptfoo more popular on GitHub?
promptfoo has more GitHub stars (23,838 vs 491). Stars measure visibility, not whether either tool fits your constraints.
Are vigil-llm and promptfoo open source?
Yes - both are open-source projects on GitHub (vigil-llm: Apache-2.0, promptfoo: MIT).
Where can I find alternatives to vigil-llm or promptfoo?
GraphCanon lists graph-backed alternatives at vigil-llm alternatives and promptfoo alternatives (vigil-llm 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, vigil-llm or promptfoo?
vigil-llm: Dormant. 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 vigil-llm and promptfoo?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vigil-llm trust report; promptfoo trust report.

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