Home/Compare/aquila vs ChatGLM-6B

Comparison

aquila vs ChatGLM-6B

Verdict

Pick aquila when aquila is primarily HTML; ChatGLM-6B is Python; pick ChatGLM-6B when chatGLM-6B is primarily Python; aquila is HTML.

Markdown twin · aquila alternatives · ChatGLM-6B alternatives

GraphCanon updated today

aquila logo

aquila

Aquila-Network/aquila

379pushed May 6, 2024
vs
ChatGLM-6B logo

ChatGLM-6B

zai-org/ChatGLM-6B

41kpushed Jun 27, 2024

Trust & integrity

SignalaquilaChatGLM-6B
Maintenance
Dormant (796d 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)
No lockfile
As of today · none
75 low (75 low)
As of today · osv@v1

Tagline

aquila
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Stars

aquila
379
ChatGLM-6B
41k

Forks

aquila
26
ChatGLM-6B
5.1k

Open issues

aquila
13
ChatGLM-6B
609

Language

aquila
HTML
ChatGLM-6B
Python

Adopt for

aquila
-
ChatGLM-6B
-

Persona

aquila
-
ChatGLM-6B
-

Runtime

aquila
-
ChatGLM-6B
-

License

aquila
-
ChatGLM-6B
Apache-2.0

Last pushed

aquila
May 6, 2024
ChatGLM-6B
Jun 27, 2024

Categories

aquila
Vector Databases, Computer Vision, Inference & Serving
ChatGLM-6B
LLM Frameworks, Vector Databases, Data & Retrieval

Trust and health

Days since push

aquila
796d
ChatGLM-6B
744d

Open issues (now)

aquila
13
ChatGLM-6B
609

Security scan

aquila
No lockfile
ChatGLM-6B
75 low (75 low)

Full report

ChatGLM-6B
Trust report

Choose aquila if…

  • aquila is primarily HTML; ChatGLM-6B is Python.
  • Tags unique to aquila: information-retrieval-engine, aquila, information-retrieval, feature-vectors.
  • Also covers Computer Vision, Inference & Serving.

When NOT to use aquila

  • Last GitHub push was 796 days ago (dormant maintenance, May 6, 2024). Validate activity before betting a new project on aquila.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose ChatGLM-6B if…

  • ChatGLM-6B is primarily Python; aquila is HTML.
  • Tags unique to ChatGLM-6B: python.
  • Also covers LLM Frameworks, Data & Retrieval.

When NOT to use ChatGLM-6B

  • Last GitHub push was 744 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B.
  • 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.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

Explore

Sources

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

GitHub stars on cards: aquila 379 · ChatGLM-6B 41k (synced Jul 11, 2026).

Common questions

What is the difference between aquila and ChatGLM-6B?
aquila: An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.. 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 aquila over ChatGLM-6B?
Choose aquila over ChatGLM-6B when aquila is primarily HTML; ChatGLM-6B is Python; Tags unique to aquila: information-retrieval-engine, aquila, information-retrieval, feature-vectors; Also covers Computer Vision, Inference & Serving.
When should I choose ChatGLM-6B over aquila?
Choose ChatGLM-6B over aquila when ChatGLM-6B is primarily Python; aquila is HTML; Tags unique to ChatGLM-6B: python; Also covers LLM Frameworks, Data & Retrieval.
When should I avoid aquila?
Last GitHub push was 796 days ago (dormant maintenance, May 6, 2024). Validate activity before betting a new project on aquila. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid ChatGLM-6B?
Last GitHub push was 744 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. 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. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
Is aquila or ChatGLM-6B more popular on GitHub?
ChatGLM-6B has more GitHub stars (41,035 vs 379). Stars measure visibility, not whether either tool fits your constraints.
Are aquila and ChatGLM-6B open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to aquila or ChatGLM-6B?
GraphCanon lists graph-backed alternatives at aquila alternatives and ChatGLM-6B alternatives (aquila 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, aquila or ChatGLM-6B?
aquila: Dormant. 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 aquila and ChatGLM-6B?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; ChatGLM-6B trust report.