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Comparison

llm-lobbyist vs LLMForEverybody

Verdict

Pick llm-lobbyist if the llm-lobbyist tool specializes in evaluating large language models' efficiency in conducting corporate lobbying activities using Jupyter Notebook and the `text-davinci-003` model; pick LLMForEverybody if lLMForEverybody is a repository primarily focused on sharing knowledge about large language models, with content that includes interview practice, research paper studies (from foundational Transformer papers to more up-t.

Markdown twin · llm-lobbyist alternatives · LLMForEverybody alternatives

GraphCanon updated 5d

llm-lobbyist logo

llm-lobbyist

JohnNay/llm-lobbyist

★ 174pushed Jan 13, 2023
vs
LLMForEverybody logo

LLMForEverybody

luhengshiwo/LLMForEverybody

★ 7.2kpushed Aug 17, 2026

Trust & integrity

Signalllm-lobbyistLLMForEverybody
Maintenance
Dormant (1310d since push)
As of 1w · github_public_v1
Very active (1d since push)
As of 5d · github_public_v1
Provenance
Not a fork · Personal account
As of 1w · github_public_v1
Not a fork · Personal account
As of 5d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
llm-lobbyist trust reportLLMForEverybody trust reportTrust methodology

Tagline

llm-lobbyist
Code for research on large language models conducting corporate lobbying activities.
LLMForEverybody
LLM knowledge sharing for everyone, essential reading before big model interviews

Stars

llm-lobbyist
174
LLMForEverybody
7.2k

Forks

llm-lobbyist
14
LLMForEverybody
662

Open issues

llm-lobbyist
0
LLMForEverybody
0

Language

llm-lobbyist
Jupyter Notebook
LLMForEverybody
Jupyter Notebook

Adopt for

llm-lobbyist
The llm-lobbyist tool specializes in evaluating large language models' efficiency in conducting corporate lobbying activities using Jupyter Notebook and the `text-davinci-003` model.
LLMForEverybody
LLMForEverybody is a repository primarily focused on sharing knowledge about large language models, with content that includes interview practice, research paper studies (from foundational Transformer papers to more up-t

Persona

llm-lobbyist
-
LLMForEverybody
-

Runtime

llm-lobbyist
-
LLMForEverybody
-

License

llm-lobbyist
-
LLMForEverybody
Apache-2.0

Last pushed

llm-lobbyist
Jan 13, 2023
LLMForEverybody
Aug 17, 2026

Categories

llm-lobbyist
Evaluation & Observability, Model Training
LLMForEverybody
Evaluation & Observability, LLM Frameworks, Model Training

Trust and health

Maintenance

llm-lobbyist
Dormant (18%)
LLMForEverybody
Very active (96%)

Days since push

llm-lobbyist
1310d
LLMForEverybody
1d

Stars delta

llm-lobbyist
0 (30d)
LLMForEverybody
+198 (30d)

Full report

llm-lobbyist
Trust report
LLMForEverybody
Trust report

Choose llm-lobbyist if…

  • Tags unique to llm-lobbyist: corporate lobbying, llm-evaluation, text davinci 003.
  • When you need to assess how well automated systems can determine if legislative proposals are relevant for particular public companies.

When NOT to use llm-lobbyist

  • If your scope of work does not involve evaluating or training large language models in a legal policy context.
  • When you require a tool to analyze or generate content unrelated to legislative relevance, such as technical documentation or creative writing.
GitHubDetails

Choose LLMForEverybody if…

  • Tags unique to LLMForEverybody: agent, interview-practice, learnllm, llm.
  • Also covers LLM Frameworks.
  • If you are preparing for job interviews in the field of LLMs or related technologies and want access to practical questions and answers.

When NOT to use LLMForEverybody

  • If your learning preference leans towards a different language or if the Chinese-specific resources don't align with your needs.
  • For individuals looking for comprehensive open-source tools or frameworks to build upon directly; this is more about educational content than concrete implementations.
GitHubDetails

Explore

llm-lobbyist trust report →LLMForEverybody trust report →Evaluation & Observability category →Model Training category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

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 · LLMForEverybody 7.2k (synced Aug 15, 2026).

Common questions

What is the difference between llm-lobbyist and LLMForEverybody?
llm-lobbyist: Code for research on large language models conducting corporate lobbying activities.. LLMForEverybody: LLM knowledge sharing for everyone, essential reading before big model interviews. See the comparison table for live GitHub stats and shared categories.
When should I choose llm-lobbyist over LLMForEverybody?
Choose llm-lobbyist over LLMForEverybody when Tags unique to llm-lobbyist: corporate lobbying, llm-evaluation, text davinci 003; When you need to assess how well automated systems can determine if legislative proposals are relevant for particular public companies.
When should I choose LLMForEverybody over llm-lobbyist?
Choose LLMForEverybody over llm-lobbyist when Tags unique to LLMForEverybody: agent, interview-practice, learnllm, llm; Also covers LLM Frameworks; If you are preparing for job interviews in the field of LLMs or related technologies and want access to practical questions and answers.
When should I avoid llm-lobbyist?
If your scope of work does not involve evaluating or training large language models in a legal policy context. When you require a tool to analyze or generate content unrelated to legislative relevance, such as technical documentation or creative writing.
When should I avoid LLMForEverybody?
If your learning preference leans towards a different language or if the Chinese-specific resources don't align with your needs. For individuals looking for comprehensive open-source tools or frameworks to build upon directly; this is more about educational content than concrete implementations.
Is llm-lobbyist or LLMForEverybody more popular on GitHub?
LLMForEverybody has more GitHub stars (7,167 vs 174). Stars measure visibility, not whether either tool fits your constraints.
Are llm-lobbyist and LLMForEverybody open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to llm-lobbyist or LLMForEverybody?
GraphCanon lists graph-backed alternatives at llm-lobbyist alternatives and LLMForEverybody alternatives (llm-lobbyist markdown twin, LLMForEverybody 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 LLMForEverybody?
llm-lobbyist: Dormant. LLMForEverybody: 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 llm-lobbyist and LLMForEverybody?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-lobbyist trust report; LLMForEverybody trust report.

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