--- title: "deepeval vs fiddler-auditor" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/confident-ai-deepeval-vs-fiddler-labs-fiddler-auditor" tools: ["confident-ai-deepeval", "fiddler-labs-fiddler-auditor"] --- # deepeval vs fiddler-auditor *GraphCanon updated Aug 2, 2026* ## Verdict Pick deepeval if deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies; 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. [deepeval](https://deepeval.com) reports 17k GitHub stars, 1.7k forks, and 404 open issues, last pushed Jul 27, 2026. [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 [deepeval's repository](https://github.com/confident-ai/deepeval) and [fiddler-auditor's repository](https://github.com/fiddler-labs/fiddler-auditor). | | [deepeval](/tools/confident-ai-deepeval.md) | [fiddler-auditor](/tools/fiddler-labs-fiddler-auditor.md) | | --- | --- | --- | | Tagline | LLM Evaluation Framework. | Tool to evaluate language models | | Stars | 17,226 | 194 | | Forks | 1,736 | 24 | | Open issues | 404 | 15 | | Language | Python | Python | | Adopt for | Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies. | Fiddler Auditor is an evaluation tool for assessing the robustness and reliability of language models prior to their deployment in production. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 License | Other | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deepeval](/tools/confident-ai-deepeval.md) | [fiddler-auditor](/tools/fiddler-labs-fiddler-auditor.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 874d | | Open issues (now) | 404 | 15 | | Full report | [trust report](/tools/confident-ai-deepeval/trust.md) | [trust report](/tools/fiddler-labs-fiddler-auditor/trust.md) | ## Shared compatibility - **Python**: [deepeval](/tools/confident-ai-deepeval.md) - Python runtime; [fiddler-auditor](/tools/fiddler-labs-fiddler-auditor.md) - Python runtime ## Decision facts: deepeval - **Requirements:** Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities. - **Adopt for:** Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies. - **License detail:** Apache-2.0 License ## 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 deepeval if… - License: deepeval is Apache-2.0, fiddler-auditor is Other. - Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.. - Tags unique to deepeval: llm-evaluation, metrics. - When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics. ### Choose fiddler-auditor if… - License: fiddler-auditor is Other, deepeval is Apache-2.0. - 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 deepeval - For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill. - In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis. ## 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 deepeval and fiddler-auditor? deepeval: LLM Evaluation Framework.. fiddler-auditor: Tool to evaluate language models. See the comparison table for live GitHub stats and shared categories. ### When should I choose deepeval over fiddler-auditor? Choose deepeval over fiddler-auditor when License: deepeval is Apache-2.0, fiddler-auditor is Other; Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.; Tags unique to deepeval: llm-evaluation, metrics; When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics. ### When should I choose fiddler-auditor over deepeval? Choose fiddler-auditor over deepeval when License: fiddler-auditor is Other, deepeval is Apache-2.0; 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 deepeval? For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill. In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis. ### 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 deepeval or fiddler-auditor more popular on GitHub? deepeval has more GitHub stars (17,226 vs 194). Stars measure visibility, not whether either tool fits your constraints. ### Are deepeval and fiddler-auditor open source? Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, fiddler-auditor: Other). ### Where can I find alternatives to deepeval or fiddler-auditor? GraphCanon lists graph-backed alternatives at [deepeval alternatives](/tools/confident-ai-deepeval/alternatives) and [fiddler-auditor alternatives](/tools/fiddler-labs-fiddler-auditor/alternatives) ([deepeval markdown twin](/tools/confident-ai-deepeval/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/confident-ai-deepeval-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, deepeval or fiddler-auditor? deepeval: Very active. 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 deepeval and fiddler-auditor? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deepeval trust report](/tools/confident-ai-deepeval/trust); [fiddler-auditor trust report](/tools/fiddler-labs-fiddler-auditor/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=confident-ai-deepeval`](/api/graphcanon/graph?tool=confident-ai-deepeval) - 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/_