Home/Compare/garak vs ChatGLM-6B

Comparison

garak vs ChatGLM-6B

Verdict

Pick garak when tags unique to garak: ai, llm-evaluation, llm-security, security-scanners; pick ChatGLM-6B when also covers Data & Retrieval.

Markdown twin · garak alternatives · ChatGLM-6B alternatives

GraphCanon updated today

garak logo

garak

NVIDIA/garak

8.4kpushed Jul 10, 2026
vs
ChatGLM-6B logo

ChatGLM-6B

zai-org/ChatGLM-6B

41kpushed Jun 27, 2024

Trust & integrity

SignalgarakChatGLM-6B
Maintenance
Very active (1d since push)
As of today · github_public_v1
Dormant (744d 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
75 low (75 low)
As of today · osv@v1

Tagline

garak
the LLM vulnerability scanner
ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Stars

garak
8.4k
ChatGLM-6B
41k

Forks

garak
1.1k
ChatGLM-6B
5.1k

Open issues

garak
367
ChatGLM-6B
609

Language

garak
Python
ChatGLM-6B
Python

Adopt for

garak
-
ChatGLM-6B
-

Persona

garak
-
ChatGLM-6B
-

Runtime

garak
-
ChatGLM-6B
-

License

garak
Apache-2.0
ChatGLM-6B
Apache-2.0

Last pushed

garak
Jul 10, 2026
ChatGLM-6B
Jun 27, 2024

Categories

garak
Evaluation & Observability, LLM Frameworks, Vector Databases
ChatGLM-6B
Data & Retrieval, LLM Frameworks, Vector Databases

Trust and health

Maintenance

garak
Very active (96%)
ChatGLM-6B
Dormant (18%)

Days since push

garak
1d
ChatGLM-6B
744d

Open issues (now)

garak
367
ChatGLM-6B
609

Security scan

garak
54 low (54 low)
ChatGLM-6B
75 low (75 low)

Full report

ChatGLM-6B
Trust report

Shared compatibility

  • Python · garak: Python runtime · ChatGLM-6B: Python runtime

Choose garak if…

  • Tags unique to garak: ai, llm-evaluation, llm-security, security-scanners.
  • Also covers Evaluation & Observability.
  • More recently updated (last pushed Jul 10, 2026).

When NOT to use garak

  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
  • 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.

Choose ChatGLM-6B if…

  • Also covers Data & Retrieval.
  • More GitHub stars (41k vs 8.4k) - visibility, not fit.

When NOT to use ChatGLM-6B

  • Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • 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.

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 · ChatGLM-6B 41k (synced Jul 11, 2026).

Common questions

What is the difference between garak and ChatGLM-6B?
garak: the LLM vulnerability scanner. ChatGLM-6B: ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型. See the comparison table for live GitHub stats and shared categories.
When should I choose garak over ChatGLM-6B?
Choose garak over ChatGLM-6B when Tags unique to garak: ai, llm-evaluation, llm-security, security-scanners; Also covers Evaluation & Observability; More recently updated (last pushed Jul 10, 2026).
When should I choose ChatGLM-6B over garak?
Choose ChatGLM-6B over garak when Also covers Data & Retrieval; More GitHub stars (41k vs 8.4k) - visibility, not fit.
When should I avoid garak?
Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. 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.
When should I avoid ChatGLM-6B?
Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. 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.
Is garak or ChatGLM-6B more popular on GitHub?
ChatGLM-6B has more GitHub stars (41,035 vs 8,400). Stars measure visibility, not whether either tool fits your constraints.
Are garak and ChatGLM-6B open source?
Yes - both are open-source projects on GitHub (garak: Apache-2.0, ChatGLM-6B: Apache-2.0).
Where can I find alternatives to garak or ChatGLM-6B?
GraphCanon lists graph-backed alternatives at garak alternatives and ChatGLM-6B alternatives (garak markdown twin, ChatGLM-6B 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 ChatGLM-6B?
garak: Very active. ChatGLM-6B: Dormant. 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 ChatGLM-6B?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: garak trust report; ChatGLM-6B trust report.