Comparison
athina-evals vs verifywise
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 verifywise if verifyWise is a comprehensive AI governance and evaluation platform that supports multiple regulatory frameworks like the EU AI Act, ISO 42001, NIST AI RMF, among others.
Markdown twin · athina-evals alternatives · verifywise alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | athina-evals | verifywise |
|---|---|---|
| Maintenance | Dormant (417d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- athina-evals
- Python SDK for evaluating LLM generated responses
- verifywise
- Complete AI governance and LLM Evals platform
Stars
- athina-evals
- 301
- verifywise
- 322
Forks
- athina-evals
- 22
- verifywise
- 110
Open issues
- athina-evals
- 3
- verifywise
- 104
Language
- athina-evals
- Python
- verifywise
- TypeScript
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.
- verifywise
- VerifyWise is a comprehensive AI governance and evaluation platform that supports multiple regulatory frameworks like the EU AI Act, ISO 42001, NIST AI RMF, among others.
Persona
- athina-evals
- -
- verifywise
- -
Runtime
- athina-evals
- -
- verifywise
- -
License
- athina-evals
- -
- verifywise
- The license terms are specified as 'Other', indicating custom licensing that may need to be reviewed for specific restrictions or permissions.
Last pushed
- athina-evals
- Jun 6, 2025
- verifywise
- Jul 28, 2026
Categories
- athina-evals
- Evaluation & Observability
- verifywise
- Evaluation & Observability
Trust and health
Maintenance
- athina-evals
- Dormant (18%)
- verifywise
- Very active (96%)
Days since push
- athina-evals
- 417d
- verifywise
- 0d
Open issues (now)
- athina-evals
- 3
- verifywise
- 104
OSV dependency advisories
- athina-evals
- No lockfile (source not queried)
- verifywise
- Published findings
Full report
- athina-evals
- Trust report
- verifywise
- Trust report
Choose athina-evals if…
- athina-evals is primarily Python; verifywise is TypeScript.
- Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-evaluation.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
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 verifywise if…
- verifywise is primarily TypeScript; athina-evals is Python.
- Pricing: Pricing information is not found in the repository data..
- Requirements: Requires Docker; Requires setup of PostgreSQL and Redis databases via Docker.; Uses TypeScript for the backend, so a compatible runtime environment such as Node.js is required..
- Tags unique to verifywise: ai-auditing, ai-compliance.
- verifywise ships Docker support for self-hosted deployment.
- When you need to comply with the EU AI Act or other global regulations such as ISO 42001 and NIST AI RMF, VerifyWise offers direct support for these frameworks.
When NOT to use verifywise
- Avoid using VerifyWise if you are specifically looking for a framework agnostic evaluation tool that does not provide integration with specific AI governance regulations.
- Do not use VerifyWise when the installation complexity is a barrier, as it involves multiple setup steps including configuring a PostgreSQL database and managing cross-platform dependencies.
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 Jul 28, 2026
- GitHub forks (athina-ai/athina-evals) · observed Jul 28, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (verifywise-ai/verifywise) · observed Jul 28, 2026
- GitHub forks (verifywise-ai/verifywise) · observed Jul 28, 2026
- Last push (verifywise-ai/verifywise) · observed Jul 28, 2026
- License file (Other) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: athina-evals 301 · verifywise 322 (synced Jul 28, 2026).
Common questions
- What is the difference between athina-evals and verifywise?
- athina-evals: Python SDK for evaluating LLM generated responses. verifywise: Complete AI governance and LLM Evals platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over verifywise?
- Choose athina-evals over verifywise when athina-evals is primarily Python; verifywise is TypeScript; Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-evaluation; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics.
- When should I choose verifywise over athina-evals?
- Choose verifywise over athina-evals when verifywise is primarily TypeScript; athina-evals is Python; Pricing: Pricing information is not found in the repository data.; Requirements: Requires Docker; Requires setup of PostgreSQL and Redis databases via Docker.; Uses TypeScript for the backend, so a compatible runtime environment such as Node.js is required.; Tags unique to verifywise: ai-auditing, ai-compliance; verifywise ships Docker support for self-hosted deployment; When you need to comply with the EU AI Act or other global regulations such as ISO 42001 and NIST AI RMF, VerifyWise offers direct support for these frameworks.
- 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 verifywise?
- Avoid using VerifyWise if you are specifically looking for a framework agnostic evaluation tool that does not provide integration with specific AI governance regulations. Do not use VerifyWise when the installation complexity is a barrier, as it involves multiple setup steps including configuring a PostgreSQL database and managing cross-platform dependencies.
- Is athina-evals or verifywise more popular on GitHub?
- verifywise has more GitHub stars (322 vs 301). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and verifywise open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or verifywise?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and verifywise alternatives (athina-evals markdown twin, verifywise 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 verifywise?
- athina-evals: Dormant. verifywise: Very active. 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 verifywise?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; verifywise trust report.