Home/Compare/llm-lobbyist vs ChatGLM-6B

Comparison

llm-lobbyist vs ChatGLM-6B

Verdict

Pick llm-lobbyist when llm-lobbyist is primarily Jupyter Notebook; ChatGLM-6B is Python; pick ChatGLM-6B when chatGLM-6B is primarily Python; llm-lobbyist is Jupyter Notebook.

Markdown twin · llm-lobbyist alternatives · ChatGLM-6B alternatives

GraphCanon updated today

llm-lobbyist logo

llm-lobbyist

JohnNay/llm-lobbyist

174pushed Jan 13, 2023
vs
ChatGLM-6B logo

ChatGLM-6B

zai-org/ChatGLM-6B

41kpushed Jun 27, 2024

Trust & integrity

Signalllm-lobbyistChatGLM-6B
Maintenance
Dormant (1275d since push)
As of today · github_public_v1
Dormant (744d 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
75 low (75 low)
As of today · osv@v1

Tagline

llm-lobbyist
Code for the paper: "Large Language Models as Corporate Lobbyists" (2023).
ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Stars

llm-lobbyist
174
ChatGLM-6B
41k

Forks

llm-lobbyist
14
ChatGLM-6B
5.1k

Open issues

llm-lobbyist
0
ChatGLM-6B
609

Language

llm-lobbyist
Jupyter Notebook
ChatGLM-6B
Python

Adopt for

llm-lobbyist
-
ChatGLM-6B
-

Persona

llm-lobbyist
-
ChatGLM-6B
-

Runtime

llm-lobbyist
-
ChatGLM-6B
-

License

llm-lobbyist
-
ChatGLM-6B
Apache-2.0

Last pushed

llm-lobbyist
Jan 13, 2023
ChatGLM-6B
Jun 27, 2024

Categories

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

Trust and health

Days since push

llm-lobbyist
1275d
ChatGLM-6B
744d

Open issues (now)

llm-lobbyist
0
ChatGLM-6B
609

Owner type

llm-lobbyist
User
ChatGLM-6B
Organization

Security scan

llm-lobbyist
No lockfile
ChatGLM-6B
75 low (75 low)

Full report

llm-lobbyist
Trust report
ChatGLM-6B
Trust report

Choose llm-lobbyist if…

  • llm-lobbyist is primarily Jupyter Notebook; ChatGLM-6B is Python.
  • Tags unique to llm-lobbyist: jupyter notebook.
  • Also covers Evaluation & Observability.

When NOT to use llm-lobbyist

  • Last GitHub push was 1276 days ago (dormant maintenance, Jan 13, 2023). Validate activity before betting a new project on llm-lobbyist.
  • 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 ChatGLM-6B if…

  • ChatGLM-6B is primarily Python; llm-lobbyist is Jupyter Notebook.
  • Tags unique to ChatGLM-6B: python.
  • Also covers Data & Retrieval.

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.
  • 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.
  • 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: llm-lobbyist 174 · ChatGLM-6B 41k (synced Jul 11, 2026).

Common questions

What is the difference between llm-lobbyist and ChatGLM-6B?
llm-lobbyist: Code for the paper: "Large Language Models as Corporate Lobbyists" (2023).. 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 llm-lobbyist over ChatGLM-6B?
Choose llm-lobbyist over ChatGLM-6B when llm-lobbyist is primarily Jupyter Notebook; ChatGLM-6B is Python; Tags unique to llm-lobbyist: jupyter notebook; Also covers Evaluation & Observability.
When should I choose ChatGLM-6B over llm-lobbyist?
Choose ChatGLM-6B over llm-lobbyist when ChatGLM-6B is primarily Python; llm-lobbyist is Jupyter Notebook; Tags unique to ChatGLM-6B: python; Also covers Data & Retrieval.
When should I avoid llm-lobbyist?
Last GitHub push was 1276 days ago (dormant maintenance, Jan 13, 2023). Validate activity before betting a new project on llm-lobbyist. 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 ChatGLM-6B?
Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. 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. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
Is llm-lobbyist or ChatGLM-6B more popular on GitHub?
ChatGLM-6B has more GitHub stars (41,035 vs 174). Stars measure visibility, not whether either tool fits your constraints.
Are llm-lobbyist and ChatGLM-6B open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to llm-lobbyist or ChatGLM-6B?
GraphCanon lists graph-backed alternatives at llm-lobbyist alternatives and ChatGLM-6B alternatives (llm-lobbyist 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, llm-lobbyist or ChatGLM-6B?
llm-lobbyist: 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 llm-lobbyist and ChatGLM-6B?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-lobbyist trust report; ChatGLM-6B trust report.