Home/Compare/awesome-llm-security vs anti-lie

Comparison

awesome-llm-security vs anti-lie

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 anti-lie if anti-Lie offers an LLM claim auditing layer using T1-T7 truth gradients to achieve high business effectiveness on fact-checking benchmarks.

Markdown twin · awesome-llm-security alternatives · anti-lie alternatives

GraphCanon updated Sep 20, 2026

10views this month

awesome-llm-security logo

awesome-llm-security

corca-ai/awesome-llm-security

1.7kpushed Aug 20, 2025
vs
anti-lie logo

anti-lie

lc198707/anti-lie

89pushed May 10, 2026

Trust & integrity

Signalawesome-llm-securityanti-lie
Maintenance
Dormant (382d since push)
As of Sep 6, 2026 · github_public_v1
Slowing (121d since push)
As of Sep 9, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 6, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 9, 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 15, 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

Tagline

awesome-llm-security
A curation of tools, documents and projects about LLM Security
anti-lie
An LLM Claim Auditing Layer with truth gradients for verifying factual claims

Stars

awesome-llm-security
1.7k
anti-lie
89

Forks

awesome-llm-security
347
anti-lie
6

Open issues

awesome-llm-security
207
anti-lie
0

Language

awesome-llm-security
-
anti-lie
Python

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
anti-lie
Anti-Lie offers an LLM claim auditing layer using T1-T7 truth gradients to achieve high business effectiveness on fact-checking benchmarks.

Persona

awesome-llm-security
-
anti-lie
-

Runtime

awesome-llm-security
-
anti-lie
-

License

awesome-llm-security
-
anti-lie
MIT License, allows easy integration, inspection, forks, embeds, and improvements of the tool in various agent runtimes and audit systems.

Last pushed

awesome-llm-security
Aug 20, 2025
anti-lie
May 10, 2026

Categories

awesome-llm-security
Evaluation & Observability
anti-lie
Evaluation & Observability

Trust and health

Maintenance

awesome-llm-security
Dormant (18%)
anti-lie
Slowing (36%)

Days since push

awesome-llm-security
382d
anti-lie
121d

Open issues (now)

awesome-llm-security
207
anti-lie
0

Stars delta

awesome-llm-security
+20 (30d)
anti-lie
0 (30d)

Open issues delta

awesome-llm-security
+34 (30d)
anti-lie
0 (30d)

Owner type

awesome-llm-security
Organization
anti-lie
User

Full report

awesome-llm-security
Trust report
anti-lie
Trust report

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, 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.

Choose anti-lie if…

  • Pricing: The software is free (open source). However, additional compliance documents may incur costs or delays..
  • Tags unique to anti-lie: agent-skills, ai-safety, anti-lie, audit.
  • When you require high accuracy in verifying factual claims made by LLMs, achieving a reported 98.1% effectiveness on benchmark testing with LiarBench v0.2

When NOT to use anti-lie

  • When the target platform is not Linux or macOS, as current service definitions are specific to these operating systems (systemd for Linux, launchd for macOS)
  • If your project does not require an outbound hook bundle including both a Python verifier and a Node.js shadow worker

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 · anti-lie 89 (synced Sep 20, 2026).

Common questions

What is the difference between awesome-llm-security and anti-lie?
awesome-llm-security: A curation of tools, documents and projects about LLM Security. anti-lie: An LLM Claim Auditing Layer with truth gradients for verifying factual claims. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-llm-security over anti-lie?
Choose awesome-llm-security over anti-lie 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, 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 choose anti-lie over awesome-llm-security?
Choose anti-lie over awesome-llm-security when Pricing: The software is free (open source). However, additional compliance documents may incur costs or delays.; Tags unique to anti-lie: agent-skills, ai-safety, anti-lie, audit; When you require high accuracy in verifying factual claims made by LLMs, achieving a reported 98.1% effectiveness on benchmark testing with LiarBench v0.2.
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 anti-lie?
When the target platform is not Linux or macOS, as current service definitions are specific to these operating systems (systemd for Linux, launchd for macOS) If your project does not require an outbound hook bundle including both a Python verifier and a Node.js shadow worker
Is awesome-llm-security or anti-lie more popular on GitHub?
awesome-llm-security has more GitHub stars (1,692 vs 89). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-llm-security and anti-lie open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to awesome-llm-security or anti-lie?
GraphCanon lists graph-backed alternatives at awesome-llm-security alternatives and anti-lie alternatives (awesome-llm-security markdown twin, anti-lie 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 anti-lie?
awesome-llm-security: Dormant. anti-lie: 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 awesome-llm-security and anti-lie?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-security trust report; anti-lie trust report.

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