Home/Compare/vigil-llm vs rebuff

Comparison

vigil-llm vs rebuff

Verdict

Pick vigil-llm when vigil-llm is primarily Python; rebuff is TypeScript; pick rebuff when rebuff is primarily TypeScript; vigil-llm is Python.

Markdown twin · vigil-llm alternatives · rebuff alternatives

GraphCanon updated today

vigil-llm logo

vigil-llm

deadbits/vigil-llm

489pushed Jan 31, 2024
vs
rebuff logo

rebuff

protectai/rebuff

1.5kpushed Aug 7, 2024

Trust & integrity

Signalvigil-llmrebuff
Maintenance
Dormant (891d since push)
As of today · github_public_v1
Archived (703d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

vigil-llm
⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs
rebuff
LLM Prompt Injection Detector

Stars

vigil-llm
489
rebuff
1.5k

Forks

vigil-llm
55
rebuff
137

Open issues

vigil-llm
16
rebuff
33

Language

vigil-llm
Python
rebuff
TypeScript

Adopt for

vigil-llm
Vigil-LLM is specifically designed for detecting prompt injections and jailbreaks in LLM inputs, offering unique capabilities not found in all security tools.
rebuff
-

Persona

vigil-llm
-
rebuff
-

Runtime

vigil-llm
-
rebuff
-

License

vigil-llm
Apache-2.0
rebuff
Apache-2.0

Last pushed

vigil-llm
Jan 31, 2024
rebuff
Aug 7, 2024

Categories

vigil-llm
LLM Frameworks, Vector Databases, Evaluation & Observability
rebuff
LLM Frameworks, Vector Databases, Evaluation & Observability

Trust and health

Maintenance

vigil-llm
Dormant (18%)
rebuff
Archived (8%)

Days since push

vigil-llm
891d
rebuff
703d

Archived on GitHub

vigil-llm
No
rebuff
Yes

Open issues (now)

vigil-llm
16
rebuff
33

Owner type

vigil-llm
User
rebuff
Organization

Full report

vigil-llm
Trust report

Choose vigil-llm if…

  • vigil-llm is primarily Python; rebuff is TypeScript.
  • Pricing: Vigil-LLM is open-source under the Apache License 2.0 and freely available to download. However, additional support or services may be offered on a paid basis depending on the context of usage..
  • Requirements: Min 4 GB RAM.
  • Tags unique to vigil-llm: adversarial-attacks, security-tools, large-language-models, adversarial-machine-learning.
  • When integrating large language models into applications that need robust protection against prompt injection attacks.

When NOT to use vigil-llm

  • If the focus of security efforts is solely on data breaches and not specifically on securing against adversarial machine learning techniques like prompt injections or jailbreaks.
  • When your environment is set up without Python or YARA v4.3.2, as these are prerequisites for using Vigil-LLM effectively.

Choose rebuff if…

  • rebuff is primarily TypeScript; vigil-llm is Python.
  • Tags unique to rebuff: llm, prompts, security, typescript.
  • More GitHub stars (1.5k vs 489) - visibility, not fit.

When NOT to use rebuff

  • rebuff is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

Explore

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 489 · rebuff 1.5k (synced Jul 11, 2026).

Common questions

What is the difference between vigil-llm and rebuff?
vigil-llm: ⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs. rebuff: LLM Prompt Injection Detector. See the comparison table for live GitHub stats and shared categories.
When should I choose vigil-llm over rebuff?
Choose vigil-llm over rebuff when vigil-llm is primarily Python; rebuff is TypeScript; Pricing: Vigil-LLM is open-source under the Apache License 2.0 and freely available to download. However, additional support or services may be offered on a paid basis depending on the context of usage.; Requirements: Min 4 GB RAM; Tags unique to vigil-llm: adversarial-attacks, security-tools, large-language-models, adversarial-machine-learning; When integrating large language models into applications that need robust protection against prompt injection attacks.
When should I choose rebuff over vigil-llm?
Choose rebuff over vigil-llm when rebuff is primarily TypeScript; vigil-llm is Python; Tags unique to rebuff: llm, prompts, security, typescript; More GitHub stars (1.5k vs 489) - visibility, not fit.
When should I avoid vigil-llm?
If the focus of security efforts is solely on data breaches and not specifically on securing against adversarial machine learning techniques like prompt injections or jailbreaks. When your environment is set up without Python or YARA v4.3.2, as these are prerequisites for using Vigil-LLM effectively.
When should I avoid rebuff?
rebuff is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Is vigil-llm or rebuff more popular on GitHub?
rebuff has more GitHub stars (1,511 vs 489). Stars measure visibility, not whether either tool fits your constraints.
Are vigil-llm and rebuff open source?
Yes - both are open-source projects on GitHub (vigil-llm: Apache-2.0, rebuff: Apache-2.0).
Where can I find alternatives to vigil-llm or rebuff?
GraphCanon lists graph-backed alternatives at vigil-llm alternatives and rebuff alternatives (vigil-llm markdown twin, rebuff 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 rebuff?
vigil-llm: Dormant. rebuff: Archived. 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 rebuff?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vigil-llm trust report; rebuff trust report.