GraphCanon
Home/Compare/awesome-evals vs awesome-llm-security

Comparison

awesome-evals vs awesome-llm-security

Verdict

Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; 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.

Markdown twin · awesome-evals alternatives · awesome-llm-security alternatives

GraphCanon updated Sep 20, 2026

12views this month

awesome-evals logo

awesome-evals

benchflow-ai/awesome-evals

★ 901pushed Sep 15, 2026
vs
awesome-llm-security logo

awesome-llm-security

corca-ai/awesome-llm-security

★ 1.7kpushed Aug 20, 2025

Trust & integrity

Signalawesome-evalsawesome-llm-security
Maintenance
Very active (4d since push)
As of Sep 20, 2026 · github_public_v1
Dormant (382d since push)
As of Sep 6, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 6, 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 Jul 11, 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
awesome-evals trust reportawesome-llm-security trust reportTrust methodology

Tagline

awesome-evals
A curated library of resources for building and evaluating AI agents
awesome-llm-security
A curation of tools, documents and projects about LLM Security

Stars

awesome-evals
901
awesome-llm-security
1.7k

Forks

awesome-evals
104
awesome-llm-security
347

Open issues

awesome-evals
34
awesome-llm-security
207

Language

awesome-evals
-
awesome-llm-security
-

Adopt for

awesome-evals
Curated resources for AI agent evaluation with BenchFlow backing its maintenance
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

Persona

awesome-evals
-
awesome-llm-security
-

Runtime

awesome-evals
-
awesome-llm-security
-

License

awesome-evals
Other
awesome-llm-security
-

Last pushed

awesome-evals
Sep 15, 2026
awesome-llm-security
Aug 20, 2025

Categories

awesome-evals
AI Agents, Evaluation & Observability
awesome-llm-security
Evaluation & Observability

Trust and health

Maintenance

awesome-evals
Very active (96%)
awesome-llm-security
Dormant (18%)

Days since push

awesome-evals
4d
awesome-llm-security
382d

Open issues (now)

awesome-evals
34
awesome-llm-security
207

Stars delta

awesome-evals
+140 (30d)
awesome-llm-security
+20 (30d)

Open issues delta

awesome-evals
+13 (30d)
awesome-llm-security
+34 (30d)

Full report

awesome-evals
Trust report
awesome-llm-security
Trust report

Choose awesome-evals if…

  • Tags unique to awesome-evals: agent-evaluation, ai-agents, benchmarks, llm-evaluation.
  • Also covers AI Agents.
  • Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation

When NOT to use awesome-evals

  • Require real-time interactive support or direct tool integrations not covered by a static resource list
  • Seeking proprietary tools from specific vendors rather than open resources and community content
GitHubDetails

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: llm, security.
  • 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.
GitHubDetails

Explore

awesome-evals trust report →awesome-llm-security trust report →AI Agents category →Evaluation & Observability 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-evals 901 · awesome-llm-security 1.7k (synced Sep 20, 2026).

Common questions

What is the difference between awesome-evals and awesome-llm-security?
awesome-evals: A curated library of resources for building and evaluating AI agents. awesome-llm-security: A curation of tools, documents and projects about LLM Security. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-evals over awesome-llm-security?
Choose awesome-evals over awesome-llm-security when Tags unique to awesome-evals: agent-evaluation, ai-agents, benchmarks, llm-evaluation; Also covers AI Agents; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation.
When should I choose awesome-llm-security over awesome-evals?
Choose awesome-llm-security over awesome-evals 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: llm, security; 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 avoid awesome-evals?
Require real-time interactive support or direct tool integrations not covered by a static resource list Seeking proprietary tools from specific vendors rather than open resources and community content
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.
Is awesome-evals or awesome-llm-security more popular on GitHub?
awesome-llm-security has more GitHub stars (1,692 vs 901). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-evals and awesome-llm-security open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to awesome-evals or awesome-llm-security?
GraphCanon lists graph-backed alternatives at awesome-evals alternatives and awesome-llm-security alternatives (awesome-evals markdown twin, awesome-llm-security 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-evals or awesome-llm-security?
awesome-evals: Very active. awesome-llm-security: 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-evals and awesome-llm-security?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; awesome-llm-security trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.