Comparison
athina-evals vs anti-lie
Verdict
Pick athina-evals if athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks; 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 · athina-evals alternatives · anti-lie alternatives
GraphCanon updated Sep 20, 2026
10views this month
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Trust & integrity
| Signal | athina-evals | anti-lie |
|---|---|---|
| Maintenance | Dormant (470d since push) As of Sep 20, 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 20, 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
- athina-evals
- Python SDK for evaluating LLM generated responses
- anti-lie
- An LLM Claim Auditing Layer with truth gradients for verifying factual claims
Stars
- athina-evals
- 301
- anti-lie
- 89
Forks
- athina-evals
- 22
- anti-lie
- 6
Open issues
- athina-evals
- 4
- anti-lie
- 0
Language
- athina-evals
- Python
- anti-lie
- Python
Adopt for
- athina-evals
- athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.
- 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
- athina-evals
- -
- anti-lie
- -
Runtime
- athina-evals
- -
- anti-lie
- -
License
- athina-evals
- -
- anti-lie
- MIT License, allows easy integration, inspection, forks, embeds, and improvements of the tool in various agent runtimes and audit systems.
Last pushed
- athina-evals
- Jun 6, 2025
- anti-lie
- May 10, 2026
Categories
- athina-evals
- Evaluation & Observability
- anti-lie
- Evaluation & Observability
Trust and health
Maintenance
- athina-evals
- Dormant (18%)
- anti-lie
- Slowing (36%)
Days since push
- athina-evals
- 470d
- anti-lie
- 121d
Open issues (now)
- athina-evals
- 4
- anti-lie
- 0
Open issues delta
- athina-evals
- +1 (30d)
- anti-lie
- 0 (30d)
Owner type
- athina-evals
- Organization
- anti-lie
- User
Full report
- athina-evals
- Trust report
- anti-lie
- Trust report
Choose athina-evals if…
- Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
- More GitHub stars (301 vs 89) - visibility, not fit.
When NOT to use athina-evals
- If open-source alternatives with transparent customization options are preferred over athina-evals' approach
- In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments
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 (athina-ai/athina-evals) · observed Sep 20, 2026
- GitHub forks (athina-ai/athina-evals) · observed Sep 20, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lc198707/anti-lie) · observed Sep 20, 2026
- GitHub forks (lc198707/anti-lie) · observed Sep 20, 2026
- Last push (lc198707/anti-lie) · observed May 10, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: athina-evals 301 · anti-lie 89 (synced Sep 20, 2026).
Common questions
- What is the difference between athina-evals and anti-lie?
- athina-evals: Python SDK for evaluating LLM generated responses. 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 athina-evals over anti-lie?
- Choose athina-evals over anti-lie when Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; More GitHub stars (301 vs 89) - visibility, not fit.
- When should I choose anti-lie over athina-evals?
- Choose anti-lie over athina-evals 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 athina-evals?
- If open-source alternatives with transparent customization options are preferred over athina-evals' approach In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments
- 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 athina-evals or anti-lie more popular on GitHub?
- athina-evals has more GitHub stars (301 vs 89). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and anti-lie open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or anti-lie?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and anti-lie alternatives (athina-evals 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, athina-evals or anti-lie?
- athina-evals: 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 athina-evals and anti-lie?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; anti-lie trust report.