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Comparison

llm-lobbyist vs llm-course

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 llm-course if llm-course provides a comprehensive curriculum on Large Language Models, including fundamental knowledge, building and deploying LLMs, and hands-on Colab notebooks.

Markdown twin · llm-lobbyist alternatives · llm-course alternatives

GraphCanon updated Sep 20, 2026

6views this month

llm-lobbyist logo

llm-lobbyist

JohnNay/llm-lobbyist

★ 174pushed Jan 13, 2023
vs
llm-course logo

llm-course

mlabonne/llm-course

★ 83kpushed Feb 5, 2026

Trust & integrity

Signalllm-lobbyistllm-course
Maintenance
Dormant (1346d since push)
As of Sep 20, 2026 · github_public_v1
Slowing (224d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · 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 reportllm-course trust reportTrust methodology

Tagline

llm-lobbyist
Code for research on large language models conducting corporate lobbying activities.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Stars

llm-lobbyist
174
llm-course
83k

Forks

llm-lobbyist
14
llm-course
9.7k

Open issues

llm-lobbyist
0
llm-course
90

Language

llm-lobbyist
Jupyter Notebook
llm-course
-

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.
llm-course
llm-course provides a comprehensive curriculum on Large Language Models, including fundamental knowledge, building and deploying LLMs, and hands-on Colab notebooks.

Persona

llm-lobbyist
-
llm-course
-

Runtime

llm-lobbyist
-
llm-course
-

License

llm-lobbyist
-
llm-course
Apache-2.0

Last pushed

llm-lobbyist
Jan 13, 2023
llm-course
Feb 5, 2026

Categories

llm-lobbyist
Evaluation & Observability, Model Training
llm-course
Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training

Trust and health

Maintenance

llm-lobbyist
Dormant (18%)
llm-course
Slowing (36%)

Days since push

llm-lobbyist
1346d
llm-course
224d

Open issues (now)

llm-lobbyist
0
llm-course
90

Stars delta

llm-lobbyist
0 (30d)
llm-course
+1.5k (30d)

Open issues delta

llm-lobbyist
0 (30d)
llm-course
+4 (30d)

Full report

llm-lobbyist
Trust report
llm-course
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.
  • Leaner open-issue backlog (0).

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 llm-course if…

  • Tags unique to llm-course: course, large-language-models, llm, machine-learning.
  • Also covers Developer Tools, Inference & Serving, LLM Frameworks.
  • Use llm-course if you are looking for a structured learning path that includes both theoretical and practical aspects of LLMs, from fundamentals to deployment.

When NOT to use llm-course

  • Avoid llm-course if you are seeking a course that focuses solely on theoretical aspects without practical implementation.
  • Do not use llm-course if you prefer a more formal certification program or a course that is part of a university curriculum.
  • Skip llm-course if you are looking for a tool that provides only code snippets or pre-built models without a structured learning path.
GitHubDetails

Explore

llm-lobbyist trust report →llm-course trust report →Evaluation & Observability category →Model Training category →Developer Tools category →Inference & Serving 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 · llm-course 83k (synced Sep 20, 2026).

Common questions

What is the difference between llm-lobbyist and llm-course?
llm-lobbyist: Code for research on large language models conducting corporate lobbying activities.. llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.. See the comparison table for live GitHub stats and shared categories.
When should I choose llm-lobbyist over llm-course?
Choose llm-lobbyist over llm-course 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; Leaner open-issue backlog (0).
When should I choose llm-course over llm-lobbyist?
Choose llm-course over llm-lobbyist when Tags unique to llm-course: course, large-language-models, llm, machine-learning; Also covers Developer Tools, Inference & Serving, LLM Frameworks; Use llm-course if you are looking for a structured learning path that includes both theoretical and practical aspects of LLMs, from fundamentals to deployment.
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 llm-course?
Avoid llm-course if you are seeking a course that focuses solely on theoretical aspects without practical implementation. Do not use llm-course if you prefer a more formal certification program or a course that is part of a university curriculum. Skip llm-course if you are looking for a tool that provides only code snippets or pre-built models without a structured learning path.
Is llm-lobbyist or llm-course more popular on GitHub?
llm-course has more GitHub stars (83,011 vs 174). Stars measure visibility, not whether either tool fits your constraints.
Are llm-lobbyist and llm-course open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to llm-lobbyist or llm-course?
GraphCanon lists graph-backed alternatives at llm-lobbyist alternatives and llm-course alternatives (llm-lobbyist markdown twin, llm-course 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 llm-course?
llm-lobbyist: Dormant. llm-course: Slowing. 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 llm-course?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-lobbyist trust report; llm-course trust report.

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