--- title: "athina-evals vs fiddler-auditor" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-fiddler-labs-fiddler-auditor" tools: ["athina-ai-athina-evals", "fiddler-labs-fiddler-auditor"] --- # athina-evals vs fiddler-auditor *GraphCanon updated Aug 2, 2026* ## 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 fiddler-auditor if fiddler Auditor is an evaluation tool for assessing the robustness and reliability of language models prior to their deployment in production. [athina-evals](https://docs.athina.ai) reports 301 GitHub stars, 22 forks, and 3 open issues, last pushed Jun 6, 2025. [fiddler-auditor](https://github.com/fiddler-labs/fiddler-auditor) has 194 stars, 24 forks, and 15 open issues, last pushed Mar 11, 2024. Figures are from public GitHub metadata via [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [fiddler-auditor's repository](https://github.com/fiddler-labs/fiddler-auditor). | | [athina-evals](/tools/athina-ai-athina-evals.md) | [fiddler-auditor](/tools/fiddler-labs-fiddler-auditor.md) | | --- | --- | --- | | Tagline | Python SDK for evaluating LLM generated responses | Tool to evaluate language models | | Stars | 301 | 194 | | Forks | 22 | 24 | | Open issues | 3 | 15 | | Language | Python | Python | | Adopt for | athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. | Fiddler Auditor is an evaluation tool for assessing the robustness and reliability of language models prior to their deployment in production. | | Persona | - | - | | Runtime | - | - | | License | - | Other | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [athina-evals](/tools/athina-ai-athina-evals.md) | [fiddler-auditor](/tools/fiddler-labs-fiddler-auditor.md) | | --- | --- | --- | | Days since push | 417d | 874d | | Open issues (now) | 3 | 15 | | Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/fiddler-labs-fiddler-auditor/trust.md) | ## Decision facts: athina-evals - **Adopt for:** athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. ## Decision facts: fiddler-auditor - **Pricing:** unknown - The pricing information for Fiddler Auditor is not specified in the repository data provided. - **Adopt for:** Fiddler Auditor is an evaluation tool for assessing the robustness and reliability of language models prior to their deployment in production. ## Choose when ### Choose athina-evals if… - Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation. - When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics - More GitHub stars (301 vs 194) - visibility, not fit. ### Choose fiddler-auditor if… - Pricing: The pricing information for Fiddler Auditor is not specified in the repository data provided.. - Tags unique to fiddler-auditor: ai-observability, generative-ai, langchain, llms. - When you need to perform red-teaming exercises on your LLM using prompt perturbation specific to your use-case ## 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 ## When NOT to use fiddler-auditor - When standard evaluation methods suffice and you do not need advanced red-team testing tailored to your specific use-case - If the project does not require or benefit from custom evaluation metrics that address niche concerns beyond general model performance - In scenarios where models are already evaluated using other comprehensive frameworks, making additional evaluations redundant ## Common questions ### What is the difference between athina-evals and fiddler-auditor? athina-evals: Python SDK for evaluating LLM generated responses. fiddler-auditor: Tool to evaluate language models. See the comparison table for live GitHub stats and shared categories. ### When should I choose athina-evals over fiddler-auditor? Choose athina-evals over fiddler-auditor when Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; More GitHub stars (301 vs 194) - visibility, not fit. ### When should I choose fiddler-auditor over athina-evals? Choose fiddler-auditor over athina-evals when Pricing: The pricing information for Fiddler Auditor is not specified in the repository data provided.; Tags unique to fiddler-auditor: ai-observability, generative-ai, langchain, llms; When you need to perform red-teaming exercises on your LLM using prompt perturbation specific to your use-case. ### 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 fiddler-auditor? When standard evaluation methods suffice and you do not need advanced red-team testing tailored to your specific use-case If the project does not require or benefit from custom evaluation metrics that address niche concerns beyond general model performance In scenarios where models are already evaluated using other comprehensive frameworks, making additional evaluations redundant ### Is athina-evals or fiddler-auditor more popular on GitHub? athina-evals has more GitHub stars (301 vs 194). Stars measure visibility, not whether either tool fits your constraints. ### Are athina-evals and fiddler-auditor open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to athina-evals or fiddler-auditor? GraphCanon lists graph-backed alternatives at [athina-evals alternatives](/tools/athina-ai-athina-evals/alternatives) and [fiddler-auditor alternatives](/tools/fiddler-labs-fiddler-auditor/alternatives) ([athina-evals markdown twin](/tools/athina-ai-athina-evals/alternatives.md), [fiddler-auditor markdown twin](/tools/fiddler-labs-fiddler-auditor/alternatives.md)), 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](/compare/athina-ai-athina-evals-vs-fiddler-labs-fiddler-auditor.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, athina-evals or fiddler-auditor? athina-evals: Dormant. fiddler-auditor: 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 athina-evals and fiddler-auditor? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [athina-evals trust report](/tools/athina-ai-athina-evals/trust); [fiddler-auditor trust report](/tools/fiddler-labs-fiddler-auditor/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=athina-ai-athina-evals`](/api/graphcanon/graph?tool=athina-ai-athina-evals) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_