Comparison
athina-evals vs evalplus
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 evalplus if evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license.
Markdown twin · athina-evals alternatives · evalplus alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | athina-evals | evalplus |
|---|---|---|
| Maintenance | Dormant (417d since push) As of 3w · github_public_v1 | Slowing (306d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- evalplus
- Rigorous evaluation of LLM-synthesized code
Stars
- athina-evals
- 301
- evalplus
- 1.8k
Forks
- athina-evals
- 22
- evalplus
- 205
Open issues
- athina-evals
- 3
- evalplus
- 71
Language
- athina-evals
- Python
- evalplus
- 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.
- evalplus
- evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license.
Persona
- athina-evals
- -
- evalplus
- -
Runtime
- athina-evals
- -
- evalplus
- -
License
- athina-evals
- -
- evalplus
- Apache-2.0
Last pushed
- athina-evals
- Jun 6, 2025
- evalplus
- Oct 2, 2025
Categories
- athina-evals
- Evaluation & Observability
- evalplus
- Evaluation & Observability
Trust and health
Maintenance
- athina-evals
- Dormant (18%)
- evalplus
- Slowing (36%)
Days since push
- athina-evals
- 417d
- evalplus
- 306d
Open issues (now)
- athina-evals
- 3
- evalplus
- 71
OSV dependency advisories
- athina-evals
- No lockfile (source not queried)
- evalplus
- No published findings from this source as of 2026-07-11
Full report
- athina-evals
- Trust report
- evalplus
- Trust report
Choose athina-evals if…
- Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval.
- 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 evalplus if…
- Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis.
- evalplus ships Docker support for self-hosted deployment.
- When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT.
When NOT to use evalplus
- Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities.
- Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies.
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 (evalplus/evalplus) · observed Aug 5, 2026
- GitHub forks (evalplus/evalplus) · observed Aug 5, 2026
- Last push (evalplus/evalplus) · observed Oct 2, 2025
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: athina-evals 301 · evalplus 1.8k (synced Jul 28, 2026).
Common questions
- What is the difference between athina-evals and evalplus?
- athina-evals: Python SDK for evaluating LLM generated responses. evalplus: Rigorous evaluation of LLM-synthesized code. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over evalplus?
- Choose athina-evals over evalplus when Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; Leaner open-issue backlog (3).
- When should I choose evalplus over athina-evals?
- Choose evalplus over athina-evals when Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis; evalplus ships Docker support for self-hosted deployment; When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT.
- 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 evalplus?
- Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities. Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies.
- Is athina-evals or evalplus more popular on GitHub?
- evalplus has more GitHub stars (1,794 vs 301). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and evalplus open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or evalplus?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and evalplus alternatives (athina-evals markdown twin, evalplus 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 evalplus?
- athina-evals: Dormant. evalplus: Slowing. 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 evalplus?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; evalplus trust report.