Comparison
athina-evals vs brain-in-the-fish
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 brain-in-the-fish if brain-in-the-fish is an ontology-based document evaluation tool that verifies claims using RDF, OWL, SPARQL, and supports anti-hallucination.
Markdown twin · athina-evals alternatives · brain-in-the-fish alternatives
GraphCanon updated Sep 27, 2026
13views this month
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Trust & integrity
| Signal | athina-evals | brain-in-the-fish |
|---|---|---|
| Maintenance | Dormant (470d since push) As of Sep 20, 2026 · github_public_v1 | Active (28d 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 Sep 27, 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
- brain-in-the-fish
- Score any document. Prove every claim.
Stars
- athina-evals
- 301
- brain-in-the-fish
- 87
Forks
- athina-evals
- 22
- brain-in-the-fish
- 15
Open issues
- athina-evals
- 4
- brain-in-the-fish
- 0
Language
- athina-evals
- Python
- brain-in-the-fish
- Rust
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.
- brain-in-the-fish
- brain-in-the-fish is an ontology-based document evaluation tool that verifies claims using RDF, OWL, SPARQL, and supports anti-hallucination.
Persona
- athina-evals
- -
- brain-in-the-fish
- -
Runtime
- athina-evals
- -
- brain-in-the-fish
- -
License
- athina-evals
- -
- brain-in-the-fish
- MIT
Last pushed
- athina-evals
- Jun 6, 2025
- brain-in-the-fish
- Aug 11, 2026
Categories
- athina-evals
- Evaluation & Observability
- brain-in-the-fish
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- athina-evals
- Dormant (18%)
- brain-in-the-fish
- Active (82%)
Days since push
- athina-evals
- 470d
- brain-in-the-fish
- 28d
Open issues (now)
- athina-evals
- 4
- brain-in-the-fish
- 0
Stars delta
- athina-evals
- 0 (30d)
- brain-in-the-fish
- +4 (30d)
Open issues delta
- athina-evals
- +1 (30d)
- brain-in-the-fish
- 0 (30d)
Owner type
- athina-evals
- Organization
- brain-in-the-fish
- User
Full report
- athina-evals
- Trust report
- brain-in-the-fish
- Trust report
Choose athina-evals if…
- athina-evals is primarily Python; brain-in-the-fish is Rust.
- 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
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 brain-in-the-fish if…
- brain-in-the-fish is primarily Rust; athina-evals is Python.
- Tags unique to brain-in-the-fish: ai, anti-hallucination, audit-trail, document-evaluation.
- Also covers Model Training.
- brain-in-the-fish ships Docker support for self-hosted deployment.
- Need Rust-based tools for document scoring and claim verification with strong focus on audit trails
When NOT to use brain-in-the-fish
- Do not use when your evaluation needs are simpler or require a different programming language than Rust
- Avoid if you do not need support for complex features such as RDF, OWL, and SPARQL integrations
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 (fabio-rovai/brain-in-the-fish) · observed Sep 20, 2026
- GitHub forks (fabio-rovai/brain-in-the-fish) · observed Sep 20, 2026
- Last push (fabio-rovai/brain-in-the-fish) · observed Aug 11, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Sep 27, 2026
GitHub stars on cards: athina-evals 301 · brain-in-the-fish 87 (synced Sep 20, 2026).
Common questions
- What is the difference between athina-evals and brain-in-the-fish?
- athina-evals: Python SDK for evaluating LLM generated responses. brain-in-the-fish: Score any document. Prove every claim.. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over brain-in-the-fish?
- Choose athina-evals over brain-in-the-fish when athina-evals is primarily Python; brain-in-the-fish is Rust; 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.
- When should I choose brain-in-the-fish over athina-evals?
- Choose brain-in-the-fish over athina-evals when brain-in-the-fish is primarily Rust; athina-evals is Python; Tags unique to brain-in-the-fish: ai, anti-hallucination, audit-trail, document-evaluation; Also covers Model Training; brain-in-the-fish ships Docker support for self-hosted deployment; Need Rust-based tools for document scoring and claim verification with strong focus on audit trails.
- 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 brain-in-the-fish?
- Do not use when your evaluation needs are simpler or require a different programming language than Rust Avoid if you do not need support for complex features such as RDF, OWL, and SPARQL integrations
- Is athina-evals or brain-in-the-fish more popular on GitHub?
- athina-evals has more GitHub stars (301 vs 87). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and brain-in-the-fish open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or brain-in-the-fish?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and brain-in-the-fish alternatives (athina-evals markdown twin, brain-in-the-fish 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 brain-in-the-fish?
- athina-evals: Dormant. brain-in-the-fish: 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 brain-in-the-fish?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; brain-in-the-fish trust report.