Home/Compare/garak vs llm-app

Comparison

garak vs llm-app

Verdict

Pick garak when garak is primarily Python; llm-app is Jupyter Notebook; pick llm-app when llm-app is primarily Jupyter Notebook; garak is Python.

Markdown twin · garak alternatives · llm-app alternatives

GraphCanon updated today

garak logo

garak

NVIDIA/garak

8.4kpushed Jul 10, 2026
vs
llm-app logo

llm-app

pathwaycom/llm-app

59kpushed Jul 5, 2026

Trust & integrity

Signalgarakllm-app
Maintenance
Very active (1d since push)
As of today · github_public_v1
Very active (5d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
54 low (54 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

garak
the LLM vulnerability scanner
llm-app
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.

Stars

garak
8.4k
llm-app
59k

Forks

garak
1.1k
llm-app
1.4k

Open issues

garak
367
llm-app
10

Language

garak
Python
llm-app
Jupyter Notebook

Adopt for

garak
-
llm-app
llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz

Persona

garak
-
llm-app
-

Runtime

garak
-
llm-app
-

License

garak
Apache-2.0
llm-app
MIT

Last pushed

garak
Jul 10, 2026
llm-app
Jul 5, 2026

Categories

garak
Vector Databases, LLM Frameworks, Evaluation & Observability
llm-app
Vector Databases, Data & Retrieval, LLM Frameworks

Trust and health

Days since push

garak
1d
llm-app
5d

Open issues (now)

garak
367
llm-app
10

Security scan

garak
54 low (54 low)
llm-app
No lockfile

Full report

Choose garak if…

  • garak is primarily Python; llm-app is Jupyter Notebook.
  • License: garak is Apache-2.0, llm-app is MIT.
  • Tags unique to garak: ai, python, security-scanners, llm-security.
  • Also covers Evaluation & Observability.

When NOT to use garak

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

Choose llm-app if…

  • llm-app is primarily Jupyter Notebook; garak is Python.
  • License: llm-app is MIT, garak is Apache-2.0.
  • Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others..
  • Tags unique to llm-app: vector-database, llm, hugging-face, retrieval-augmented-generation.
  • Also covers Data & Retrieval.
  • - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.

When NOT to use llm-app

  • - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app.
  • - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: garak 8.4k · llm-app 59k (synced Jul 11, 2026).

Common questions

What is the difference between garak and llm-app?
garak: the LLM vulnerability scanner. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. See the comparison table for live GitHub stats and shared categories.
When should I choose garak over llm-app?
Choose garak over llm-app when garak is primarily Python; llm-app is Jupyter Notebook; License: garak is Apache-2.0, llm-app is MIT; Tags unique to garak: ai, python, security-scanners, llm-security; Also covers Evaluation & Observability.
When should I choose llm-app over garak?
Choose llm-app over garak when llm-app is primarily Jupyter Notebook; garak is Python; License: llm-app is MIT, garak is Apache-2.0; Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.; Tags unique to llm-app: vector-database, llm, hugging-face, retrieval-augmented-generation; Also covers Data & Retrieval; - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
When should I avoid garak?
Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
When should I avoid llm-app?
- You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
Is garak or llm-app more popular on GitHub?
llm-app has more GitHub stars (59,068 vs 8,400). Stars measure visibility, not whether either tool fits your constraints.
Are garak and llm-app open source?
Yes - both are open-source projects on GitHub (garak: Apache-2.0, llm-app: MIT).
Where can I find alternatives to garak or llm-app?
GraphCanon lists graph-backed alternatives at garak alternatives and llm-app alternatives (garak markdown twin, llm-app 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, garak or llm-app?
garak: Very active. llm-app: 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 garak and llm-app?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: garak trust report; llm-app trust report.