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Home/Compare/Awesome-Code-LLM vs llm-lobbyist

Comparison

Awesome-Code-LLM vs llm-lobbyist

Verdict

Pick Awesome-Code-LLM if awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers; 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.

Markdown twin · Awesome-Code-LLM alternatives · llm-lobbyist alternatives

GraphCanon updated 1w

Awesome-Code-LLM logo

Awesome-Code-LLM

huybery/Awesome-Code-LLM

★ 1.3kpushed Dec 10, 2024
vs
llm-lobbyist logo

llm-lobbyist

JohnNay/llm-lobbyist

★ 174pushed Jan 13, 2023

Trust & integrity

SignalAwesome-Code-LLMllm-lobbyist
Maintenance
Dormant (604d since push)
As of 2w · github_public_v1
Dormant (1310d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Personal account
As of 1w · 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
Awesome-Code-LLM trust reportllm-lobbyist trust reportTrust methodology

Tagline

Awesome-Code-LLM
👨💻 An awesome and curated list of best code-LLM for research.
llm-lobbyist
Code for research on large language models conducting corporate lobbying activities.

Stars

Awesome-Code-LLM
1.3k
llm-lobbyist
174

Forks

Awesome-Code-LLM
74
llm-lobbyist
14

Open issues

Awesome-Code-LLM
4
llm-lobbyist
0

Language

Awesome-Code-LLM
-
llm-lobbyist
Jupyter Notebook

Adopt for

Awesome-Code-LLM
Awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers.
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.

Persona

Awesome-Code-LLM
-
llm-lobbyist
-

Runtime

Awesome-Code-LLM
-
llm-lobbyist
-

License

Awesome-Code-LLM
MIT License: Permissive open-source license that allows usage in virtually any project with little restrictions.
llm-lobbyist
-

Last pushed

Awesome-Code-LLM
Dec 10, 2024
llm-lobbyist
Jan 13, 2023

Categories

Awesome-Code-LLM
Evaluation & Observability, LLM Frameworks
llm-lobbyist
Evaluation & Observability, Model Training

Trust and health

Days since push

Awesome-Code-LLM
604d
llm-lobbyist
1310d

Open issues (now)

Awesome-Code-LLM
4
llm-lobbyist
0

Stars delta

Awesome-Code-LLM
Unknown
llm-lobbyist
0 (30d)

Open issues delta

Awesome-Code-LLM
Unknown
llm-lobbyist
0 (30d)

Full report

Awesome-Code-LLM
Trust report
llm-lobbyist
Trust report

Choose Awesome-Code-LLM if…

  • Requirements: No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs..
  • Tags unique to Awesome-Code-LLM: awesome, code generation, large language models.
  • Also covers LLM Frameworks.
  • When you need a comprehensive list of state-of-the-art code generation LLMs with performance metrics such as HumanEval.

When NOT to use Awesome-Code-LLM

  • When looking for a tool that provides pre-trained models with built-in APIs or services, as Awesome-Code-LLM is primarily a directory/collection of information without direct service provision.
  • If you require real-time interactive use-cases and need immediate API access to LLMs; this repository does not offer such functionality.
  • In scenarios where you need a single end-to-end solution for training your own code generation models, as the platform is focused on aggregating third-party resources and research rather than offering
GitHubDetails

Choose llm-lobbyist if…

  • Tags unique to llm-lobbyist: corporate lobbying, llm-evaluation, text davinci 003.
  • Also covers Model Training.
  • 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

Explore

Awesome-Code-LLM trust report →llm-lobbyist trust report →Evaluation & Observability category →LLM Frameworks category →Model Training 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: Awesome-Code-LLM 1.3k · llm-lobbyist 174 (synced Aug 6, 2026).

Common questions

What is the difference between Awesome-Code-LLM and llm-lobbyist?
Awesome-Code-LLM: 👨💻 An awesome and curated list of best code-LLM for research.. llm-lobbyist: Code for research on large language models conducting corporate lobbying activities.. See the comparison table for live GitHub stats and shared categories.
When should I choose Awesome-Code-LLM over llm-lobbyist?
Choose Awesome-Code-LLM over llm-lobbyist when Requirements: No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs.; Tags unique to Awesome-Code-LLM: awesome, code generation, large language models; Also covers LLM Frameworks; When you need a comprehensive list of state-of-the-art code generation LLMs with performance metrics such as HumanEval.
When should I choose llm-lobbyist over Awesome-Code-LLM?
Choose llm-lobbyist over Awesome-Code-LLM when Tags unique to llm-lobbyist: corporate lobbying, llm-evaluation, text davinci 003; Also covers Model Training; When you need to assess how well automated systems can determine if legislative proposals are relevant for particular public companies.
When should I avoid Awesome-Code-LLM?
When looking for a tool that provides pre-trained models with built-in APIs or services, as Awesome-Code-LLM is primarily a directory/collection of information without direct service provision. If you require real-time interactive use-cases and need immediate API access to LLMs; this repository does not offer such functionality. In scenarios where you need a single end-to-end solution for training your own code generation models, as the platform is focused on aggregating third-party resources and research rather than offering
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.
Is Awesome-Code-LLM or llm-lobbyist more popular on GitHub?
Awesome-Code-LLM has more GitHub stars (1,291 vs 174). Stars measure visibility, not whether either tool fits your constraints.
Are Awesome-Code-LLM and llm-lobbyist open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to Awesome-Code-LLM or llm-lobbyist?
GraphCanon lists graph-backed alternatives at Awesome-Code-LLM alternatives and llm-lobbyist alternatives (Awesome-Code-LLM markdown twin, llm-lobbyist 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, Awesome-Code-LLM or llm-lobbyist?
Awesome-Code-LLM: Dormant. llm-lobbyist: 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 Awesome-Code-LLM and llm-lobbyist?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Code-LLM trust report; llm-lobbyist trust report.

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