--- title: "deepeval vs zeno" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/confident-ai-deepeval-vs-zeno-ml-zeno" tools: ["confident-ai-deepeval", "zeno-ml-zeno"] --- # deepeval vs zeno *GraphCanon updated Aug 3, 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 zeno if zeno combines Python API with an interactive UI for evaluating ML models across various tasks. [deepeval](https://deepeval.com) reports 17k GitHub stars, 1.7k forks, and 404 open issues, last pushed Jul 27, 2026. [zeno](https://zenoml.com) has 214 stars, 11 forks, and 45 open issues, last pushed Oct 5, 2023. Figures are from public GitHub metadata via [deepeval's repository](https://github.com/confident-ai/deepeval) and [zeno's repository](https://github.com/zeno-ml/zeno). | | [deepeval](/tools/confident-ai-deepeval.md) | [zeno](/tools/zeno-ml-zeno.md) | | --- | --- | --- | | Tagline | LLM Evaluation Framework. | AI Data Management & Evaluation Platform | | Stars | 17,226 | 214 | | Forks | 1,736 | 11 | | Open issues | 404 | 45 | | Language | Python | Svelte | | Adopt for | Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies. | Zeno combines Python API with an interactive UI for evaluating ML models across various tasks. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 License | MIT | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deepeval](/tools/confident-ai-deepeval.md) | [zeno](/tools/zeno-ml-zeno.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 1d | 1032d | | Archived on GitHub | No | Yes | | Open issues (now) | 404 | 45 | | Full report | [trust report](/tools/confident-ai-deepeval/trust.md) | [trust report](/tools/zeno-ml-zeno/trust.md) | ## Shared compatibility - **Python**: [deepeval](/tools/confident-ai-deepeval.md) - Python runtime; [zeno](/tools/zeno-ml-zeno.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: zeno - **Adopt for:** Zeno combines Python API with an interactive UI for evaluating ML models across various tasks. ## Choose when ### Choose deepeval if… - deepeval is primarily Python; zeno is Svelte. - License: deepeval is Apache-2.0, zeno is MIT. - Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.. - Tags unique to deepeval: evaluation, llm-evaluation, metrics. - When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics. ### Choose zeno if… - zeno is primarily Svelte; deepeval is Python. - License: zeno is MIT, deepeval is Apache-2.0. - Tags unique to zeno: ai, data-science, evaluation-framework, machine-learning. - You need to analyze model performance interactively via a user interface ## 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 zeno - Your project requires real-time monitoring capabilities not provided by Zeno's evaluation framework - If you are looking for a specialized tool tailored only to specific data types, like just images or text without the modular versatility of Zeno ## Common questions ### What is the difference between deepeval and zeno? deepeval: LLM Evaluation Framework.. zeno: AI Data Management & Evaluation Platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose deepeval over zeno? Choose deepeval over zeno when deepeval is primarily Python; zeno is Svelte; License: deepeval is Apache-2.0, zeno is MIT; Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.; Tags unique to deepeval: evaluation, 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 zeno over deepeval? Choose zeno over deepeval when zeno is primarily Svelte; deepeval is Python; License: zeno is MIT, deepeval is Apache-2.0; Tags unique to zeno: ai, data-science, evaluation-framework, machine-learning; You need to analyze model performance interactively via a user interface. ### 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 zeno? Your project requires real-time monitoring capabilities not provided by Zeno's evaluation framework If you are looking for a specialized tool tailored only to specific data types, like just images or text without the modular versatility of Zeno ### Is deepeval or zeno more popular on GitHub? deepeval has more GitHub stars (17,226 vs 214). Stars measure visibility, not whether either tool fits your constraints. ### Are deepeval and zeno open source? Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, zeno: MIT). ### Where can I find alternatives to deepeval or zeno? GraphCanon lists graph-backed alternatives at [deepeval alternatives](/tools/confident-ai-deepeval/alternatives) and [zeno alternatives](/tools/zeno-ml-zeno/alternatives) ([deepeval markdown twin](/tools/confident-ai-deepeval/alternatives.md), [zeno markdown twin](/tools/zeno-ml-zeno/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-zeno-ml-zeno.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deepeval or zeno? deepeval: Very active. zeno: Archived. 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 zeno? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deepeval trust report](/tools/confident-ai-deepeval/trust); [zeno trust report](/tools/zeno-ml-zeno/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/_