Home/Compare/awesome-llm-security vs chatgpt-plugin-eval

Comparison

awesome-llm-security vs chatgpt-plugin-eval

Verdict

Pick awesome-llm-security if awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and; pick chatgpt-plugin-eval if chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language.

Markdown twin · awesome-llm-security alternatives · chatgpt-plugin-eval alternatives

GraphCanon updated 2w

awesome-llm-security logo

awesome-llm-security

corca-ai/awesome-llm-security

1.7kpushed Aug 20, 2025
vs
chatgpt-plugin-eval logo

chatgpt-plugin-eval

llm-platform-security/chatgpt-plugin-eval

29pushed Jul 29, 2024

Trust & integrity

Signalawesome-llm-securitychatgpt-plugin-eval
Maintenance
Slowing (351d since push)
As of 2w · github_public_v1
Dormant (736d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · 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

Tagline

awesome-llm-security
A curation of tools, documents and projects about LLM Security
chatgpt-plugin-eval
Framework for Evaluating Security in LLM Plugin Ecosystems

Stars

awesome-llm-security
1.7k
chatgpt-plugin-eval
29

Forks

awesome-llm-security
312
chatgpt-plugin-eval
7

Open issues

awesome-llm-security
173
chatgpt-plugin-eval
1

Language

awesome-llm-security
-
chatgpt-plugin-eval
HTML

Adopt for

awesome-llm-security
Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and
chatgpt-plugin-eval
chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT.

Persona

awesome-llm-security
-
chatgpt-plugin-eval
-

Runtime

awesome-llm-security
-
chatgpt-plugin-eval
-

License

awesome-llm-security
-
chatgpt-plugin-eval
The license information for chatgpt-plugin-eval is unknown.

Last pushed

awesome-llm-security
Aug 20, 2025
chatgpt-plugin-eval
Jul 29, 2024

Categories

awesome-llm-security
Evaluation & Observability
chatgpt-plugin-eval
Evaluation & Observability

Trust and health

Maintenance

awesome-llm-security
Slowing (36%)
chatgpt-plugin-eval
Dormant (18%)

Days since push

awesome-llm-security
351d
chatgpt-plugin-eval
736d

Open issues (now)

awesome-llm-security
173
chatgpt-plugin-eval
1

Full report

awesome-llm-security
Trust report
chatgpt-plugin-eval
Trust report

Shared compatibility

  • ChatGPT · awesome-llm-security: Works with ChatGPT · chatgpt-plugin-eval: Works with ChatGPT

Choose awesome-llm-security if…

  • Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided)..
  • Tags unique to awesome-llm-security: awesome-list, llm.
  • When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.

When NOT to use awesome-llm-security

  • When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs.
  • If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.

Choose chatgpt-plugin-eval if…

  • Tags unique to chatgpt-plugin-eval: chatgpt, llm-plugins, privacy.
  • - When evaluating the security risks of integrating third-party services into your LLM platform through plugins
  • Leaner open-issue backlog (1).

When NOT to use chatgpt-plugin-eval

  • - In cases where only generic, high-level security guidance is required without an in-depth framework analysis
  • - When the primary focus is on improving performance metrics rather than addressing specific security and privacy concerns of LLM plugins

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: awesome-llm-security 1.7k · chatgpt-plugin-eval 29 (synced Aug 6, 2026).

Common questions

What is the difference between awesome-llm-security and chatgpt-plugin-eval?
awesome-llm-security: A curation of tools, documents and projects about LLM Security. chatgpt-plugin-eval: Framework for Evaluating Security in LLM Plugin Ecosystems. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-llm-security over chatgpt-plugin-eval?
Choose awesome-llm-security over chatgpt-plugin-eval when Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).; Tags unique to awesome-llm-security: awesome-list, llm; When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
When should I choose chatgpt-plugin-eval over awesome-llm-security?
Choose chatgpt-plugin-eval over awesome-llm-security when Tags unique to chatgpt-plugin-eval: chatgpt, llm-plugins, privacy; - When evaluating the security risks of integrating third-party services into your LLM platform through plugins; Leaner open-issue backlog (1).
When should I avoid awesome-llm-security?
When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
When should I avoid chatgpt-plugin-eval?
- In cases where only generic, high-level security guidance is required without an in-depth framework analysis - When the primary focus is on improving performance metrics rather than addressing specific security and privacy concerns of LLM plugins
Is awesome-llm-security or chatgpt-plugin-eval more popular on GitHub?
awesome-llm-security has more GitHub stars (1,672 vs 29). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-llm-security and chatgpt-plugin-eval open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to awesome-llm-security or chatgpt-plugin-eval?
GraphCanon lists graph-backed alternatives at awesome-llm-security alternatives and chatgpt-plugin-eval alternatives (awesome-llm-security markdown twin, chatgpt-plugin-eval 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-llm-security or chatgpt-plugin-eval?
awesome-llm-security: Slowing. chatgpt-plugin-eval: 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-llm-security and chatgpt-plugin-eval?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-security trust report; chatgpt-plugin-eval trust report.

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