Comparison
athina-evals vs deepeval
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 deepeval if deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
Markdown twin · athina-evals alternatives · deepeval alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | athina-evals | deepeval |
|---|---|---|
| Maintenance | Dormant (417d since push) As of 3w · github_public_v1 | Very active (1d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · 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
- athina-evals
- Python SDK for evaluating LLM generated responses
- deepeval
- LLM Evaluation Framework.
Stars
- athina-evals
- 301
- deepeval
- 17k
Forks
- athina-evals
- 22
- deepeval
- 1.7k
Open issues
- athina-evals
- 3
- deepeval
- 404
Language
- athina-evals
- Python
- deepeval
- Python
Adopt for
- athina-evals
- athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.
- deepeval
- Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
Persona
- athina-evals
- -
- deepeval
- -
Runtime
- athina-evals
- -
- deepeval
- -
License
- athina-evals
- -
- deepeval
- Apache-2.0 License
Last pushed
- athina-evals
- Jun 6, 2025
- deepeval
- Jul 27, 2026
Categories
- athina-evals
- Evaluation & Observability
- deepeval
- Evaluation & Observability
Trust and health
Maintenance
- athina-evals
- Dormant (18%)
- deepeval
- Very active (96%)
Days since push
- athina-evals
- 417d
- deepeval
- 1d
Open issues (now)
- athina-evals
- 3
- deepeval
- 404
Full report
- athina-evals
- Trust report
- deepeval
- Trust report
Choose athina-evals if…
- Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation-toolkit.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
- Leaner open-issue backlog (3).
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
Choose deepeval if…
- Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities..
- Tags unique to deepeval: 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 (athina-ai/athina-evals) · observed Jul 28, 2026
- GitHub forks (athina-ai/athina-evals) · observed Jul 28, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 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: athina-evals 301 · deepeval 17k (synced Jul 28, 2026).
Common questions
- What is the difference between athina-evals and deepeval?
- athina-evals: Python SDK for evaluating LLM generated responses. deepeval: LLM Evaluation Framework.. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over deepeval?
- Choose athina-evals over deepeval when Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation-toolkit; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; Leaner open-issue backlog (3).
- When should I choose deepeval over athina-evals?
- Choose deepeval over athina-evals when Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.; Tags unique to deepeval: metrics; When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
- 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 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 athina-evals or deepeval more popular on GitHub?
- deepeval has more GitHub stars (17,226 vs 301). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and deepeval open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or deepeval?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and deepeval alternatives (athina-evals 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, athina-evals or deepeval?
- athina-evals: Dormant. 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 athina-evals and deepeval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; deepeval trust report.