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
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Trust & integrity
| Signal | llm-lobbyist | ChatGLM-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 (JohnNay/llm-lobbyist) · observed Jul 11, 2026
- GitHub forks (JohnNay/llm-lobbyist) · observed Jul 11, 2026
- Last push (JohnNay/llm-lobbyist) · observed Jan 13, 2023
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zai-org/ChatGLM-6B) · observed Jul 11, 2026
- GitHub forks (zai-org/ChatGLM-6B) · observed Jul 11, 2026
- Last push (zai-org/ChatGLM-6B) · observed Jun 27, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.