Comparison
olmo-eval vs deepeval
Verdict
Pick olmo-eval if olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks; pick deepeval if deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
Markdown twin · olmo-eval alternatives · deepeval alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | olmo-eval | deepeval |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Very active (1d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- olmo-eval
- Olmo Evaluation Framework for LLM Tasks
- deepeval
- LLM Evaluation Framework.
Stars
- olmo-eval
- 65
- deepeval
- 17k
Forks
- olmo-eval
- 14
- deepeval
- 1.7k
Open issues
- olmo-eval
- 38
- deepeval
- 404
Language
- olmo-eval
- Python
- deepeval
- Python
Adopt for
- olmo-eval
- Olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks.
- deepeval
- Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
Persona
- olmo-eval
- -
- deepeval
- -
Runtime
- olmo-eval
- -
- deepeval
- -
License
- olmo-eval
- Apache-2.0
- deepeval
- Apache-2.0 License
Last pushed
- olmo-eval
- Aug 6, 2026
- deepeval
- Jul 27, 2026
Categories
- olmo-eval
- Evaluation & Observability
- deepeval
- Evaluation & Observability
Trust and health
Days since push
- olmo-eval
- 0d
- deepeval
- 1d
Open issues (now)
- olmo-eval
- 38
- deepeval
- 404
Full report
- olmo-eval
- Trust report
- deepeval
- Trust report
Shared compatibility
- Python · olmo-eval: Python runtime · deepeval: Python runtime
Choose olmo-eval if…
- Tags unique to olmo-eval: datasets, llm, python, tasks.
- olmo-eval ships Docker support for self-hosted deployment.
- When you need a flexible evaluation setup that works with a variety of LLMs and datasets.
When NOT to use olmo-eval
- When you require a simpler setup that doesn't need the reproducibility constraints of uv builds.
- If your project already has an established evaluation toolchain and does not benefit from introducing a new framework for manageability reasons.
Choose deepeval if…
- 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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (allenai/olmo-eval) · observed Aug 7, 2026
- GitHub forks (allenai/olmo-eval) · observed Aug 7, 2026
- Last push (allenai/olmo-eval) · observed Aug 6, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (confident-ai/deepeval) · observed Jul 28, 2026
- GitHub forks (confident-ai/deepeval) · observed Jul 28, 2026
- Last push (confident-ai/deepeval) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: olmo-eval 65 · deepeval 17k (synced Aug 7, 2026).
Common questions
- What is the difference between olmo-eval and deepeval?
- olmo-eval: Olmo Evaluation Framework for LLM Tasks. deepeval: 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: datasets, llm, python, tasks; olmo-eval ships Docker support for self-hosted deployment; When you need a flexible evaluation setup that works with a variety of LLMs and datasets.
- When should I choose deepeval over olmo-eval?
- Choose deepeval over olmo-eval when 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 avoid olmo-eval?
- When you require a simpler setup that doesn't need the reproducibility constraints of uv builds. If your project already has an established evaluation toolchain and does not benefit from introducing a new framework for manageability reasons.
- 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.
- Is olmo-eval or deepeval more popular on GitHub?
- deepeval has more GitHub stars (17,226 vs 65). 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 and deepeval alternatives (olmo-eval markdown twin, deepeval 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, 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; deepeval trust report.