---
title: "olmo-eval vs deepeval"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/allenai-olmo-eval-vs-confident-ai-deepeval"
tools: ["allenai-olmo-eval", "confident-ai-deepeval"]
---

# olmo-eval vs deepeval

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick olmo-eval when tags unique to olmo-eval: reproducibility, evaluation, mock-testing, language-models; pick deepeval when tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics.

[olmo-eval](https://github.com/allenai/olmo-eval) reports 60 GitHub stars, 10 forks, and 32 open issues, last pushed Jul 11, 2026. [deepeval](https://deepeval.com) has 17k stars, 1.6k forks, and 334 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [olmo-eval's repository](https://github.com/allenai/olmo-eval) and [deepeval's repository](https://github.com/confident-ai/deepeval).

| | [olmo-eval](/tools/allenai-olmo-eval.md) | [deepeval](/tools/confident-ai-deepeval.md) |
| --- | --- | --- |
| Tagline | None provided | The LLM Evaluation Framework |
| Stars | 60 | 16,767 |
| Forks | 10 | 1,641 |
| Open issues | 32 | 334 |
| Language | Python | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Evaluation & Observability | LLM Frameworks, Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [olmo-eval](/tools/allenai-olmo-eval.md) | [deepeval](/tools/confident-ai-deepeval.md) |
| --- | --- | --- |
| Open issues (now) | 32 | 334 |
| Full report | [trust report](/tools/allenai-olmo-eval/trust.md) | [trust report](/tools/confident-ai-deepeval/trust.md) |

## Choose when

### Choose olmo-eval if…

- Tags unique to olmo-eval: reproducibility, evaluation, mock-testing, language-models.
- olmo-eval ships Docker support for self-hosted deployment.
- More recently updated (last pushed Jul 11, 2026).

### Choose deepeval if…

- Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics.
- Also covers LLM Frameworks.
- More GitHub stars (17k vs 60) - visibility, not fit.

## When NOT to use olmo-eval

- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

## When NOT to use deepeval

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

## Common questions

### What is the difference between olmo-eval and deepeval?

olmo-eval: None provided. deepeval: The LLM Evaluation Framework. See the comparison table for live GitHub stats and shared categories.

### When should I choose olmo-eval over deepeval?

Choose olmo-eval over deepeval when Tags unique to olmo-eval: reproducibility, evaluation, mock-testing, language-models; olmo-eval ships Docker support for self-hosted deployment; More recently updated (last pushed Jul 11, 2026).

### When should I choose deepeval over olmo-eval?

Choose deepeval over olmo-eval when Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics; Also covers LLM Frameworks; More GitHub stars (17k vs 60) - visibility, not fit.

### When should I avoid olmo-eval?

Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

### When should I avoid deepeval?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

### Is olmo-eval or deepeval more popular on GitHub?

deepeval has more GitHub stars (16,767 vs 60). Stars measure visibility, not whether either tool fits your constraints.

### Are olmo-eval and deepeval open source?

Yes - both are open-source projects on GitHub (olmo-eval: Apache-2.0, deepeval: Apache-2.0).

### Where can I find alternatives to olmo-eval or deepeval?

GraphCanon lists graph-backed alternatives at [olmo-eval alternatives](/tools/allenai-olmo-eval/alternatives) and [deepeval alternatives](/tools/confident-ai-deepeval/alternatives) ([olmo-eval markdown twin](/tools/allenai-olmo-eval/alternatives.md), [deepeval markdown twin](/tools/confident-ai-deepeval/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/allenai-olmo-eval-vs-confident-ai-deepeval.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, olmo-eval or deepeval?

olmo-eval: Very active. deepeval: 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 olmo-eval and deepeval?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [olmo-eval trust report](/tools/allenai-olmo-eval/trust); [deepeval trust report](/tools/confident-ai-deepeval/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=allenai-olmo-eval`](/api/graphcanon/graph?tool=allenai-olmo-eval)
- 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/_