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
Trust & integrity
| Signal | vigil-llm | rebuff |
|---|---|---|
| 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
- rebuff
- 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 (deadbits/vigil-llm) · observed Jul 11, 2026
- GitHub forks (deadbits/vigil-llm) · observed Jul 11, 2026
- Last push (deadbits/vigil-llm) · observed Jan 31, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (protectai/rebuff) · observed Jul 11, 2026
- GitHub forks (protectai/rebuff) · observed Jul 11, 2026
- Last push (protectai/rebuff) · observed Aug 7, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.